Log in

Relevant bibliographies by topics / Error back propagation algorithm / Dissertations / Theses

To see the other types of publications on this topic, follow the link: Error back propagation algorithm.

Dissertations / Theses on the topic 'Error back propagation algorithm'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 42 dissertations / theses for your research on the topic 'Error back propagation algorithm.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse dissertations / theses on a wide variety of disciplines and organise your bibliography correctly.

1

Sargelis, Kęstas. "Klaidos skleidimo atgal algoritmo tyrimai." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20090630_094557-88383.

Full text

Abstract:

Šiame darbe detaliai išanalizuotas klaidos skleidimo atgal algoritmas, atlikti tyrimai. Išsamiai analizuota neuroninių tinklų teorija. Algoritmui taikyti ir analizuoti sistemoje Visual Studio Web Developer 2008 sukurta programa su įvairiais tyrimo metodais, padedančiais ištirti algoritmo daromą klaidą. Taip pat naudotasi Matlab 7.1 sistemos įrankiais neuroniniams tinklams apmokyti. Tyrimo metu analizuotas daugiasluoksnis dirbtinis neuroninis tinklas su vienu paslėptu sluoksniu. Tyrimams naudoti gėlių irisų ir oro taršos duomenys. Atlikti gautų rezultatų palyginimai.<br>The present work provide

APA, Harvard, Vancouver, ISO, and other styles

2

Albarakati, Noor. "FAST NEURAL NETWORK ALGORITHM FOR SOLVING CLASSIFICATION TASKS." VCU Scholars Compass, 2012. http://scholarscompass.vcu.edu/etd/2740.

Full text

Abstract:

Classification is one-out-of several applications in the neural network (NN) world. Multilayer perceptron (MLP) is the common neural network architecture which is used for classification tasks. It is famous for its error back propagation (EBP) algorithm, which opened the new way for solving classification problems given a set of empirical data. In the thesis, we performed experiments by using three different NN structures in order to find the best MLP neural network structure for performing the nonlinear classification of multiclass data sets. A developed learning algorithm used here is the ba

APA, Harvard, Vancouver, ISO, and other styles

3

Зимовець, Т. С. "Інтелектуальна інформаційна технологія комп'ютерного діагностування патології волосся". Master's thesis, Сумський державний університет, 2020. https://essuir.sumdu.edu.ua/handle/123456789/78595.

Full text

Abstract:

Проведено синтез системи підтримки прийняття рішень, яка здатна навчатися з використанням нейромережевої технології. Для чого використовувалася нейронна мережа зворотнього поширення. У роботі проведена оптимізація параметрів стандартного алгоритму навчання нейронної мережі такого типу, що дозволило підвищити точність сформованого нейронно мережевого класифікатора. Програмна реалізація виконувалася з використанням пакета розширення NNToolBox середовища MATLAB 6.5.

APA, Harvard, Vancouver, ISO, and other styles

4

Lowton, Andrew D. "A constructive learning algorithm based on back-propagation." Thesis, Aston University, 1995. http://publications.aston.ac.uk/10663/.

Full text

Abstract:

There are been a resurgence of interest in the neural networks field in recent years, provoked in part by the discovery of the properties of multi-layer networks. This interest has in turn raised questions about the possibility of making neural network behaviour more adaptive by automating some of the processes involved. Prior to these particular questions, the process of determining the parameters and network architecture required to solve a given problem had been a time consuming activity. A number of researchers have attempted to address these issues by automating these processes, concentra

APA, Harvard, Vancouver, ISO, and other styles

5

Xiao, Nancy Y. (Nancy Ying). "Using the modified back-propagation algorithm to perform automated downlink analysis." Thesis, Massachusetts Institute of Technology, 1996. http://hdl.handle.net/1721.1/40206.

Full text

Abstract:

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.<br>Includes bibliographical references (p. 121-122).<br>by Nancy Y. Xiao.<br>M.Eng.

APA, Harvard, Vancouver, ISO, and other styles

6

Civelek, Ferda N. (Ferda Nur). "Temporal Connectionist Expert Systems Using a Temporal Backpropagation Algorithm." Thesis, University of North Texas, 1993. https://digital.library.unt.edu/ark:/67531/metadc278824/.

Full text

Abstract:

Representing time has been considered a general problem for artificial intelligence research for many years. More recently, the question of representing time has become increasingly important in representing human decision making process through connectionist expert systems. Because most human behaviors unfold over time, any attempt to represent expert performance, without considering its temporal nature, can often lead to incorrect results. A temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems, h

APA, Harvard, Vancouver, ISO, and other styles

7

Alejo, Eleuterio Roberto. "Análisis del error en redes neuronales: Corrección de los datos y distribuciones no balanceadas." Doctoral thesis, Universitat Jaume I, 2010. http://hdl.handle.net/10803/10490.

Full text

Abstract:

El problema del desbalance de las clases aparece cuando existen muchos más elementos de una o algunas clases, que de la otra u otras clases (dos o múltiples clases). Esta desproporción en el tamaño de las diferentes clases en un mismo conjunto de datos, puede ocasionar una disminución en la efectividad del clasificación sobre las clases menos representadas. En el caso específico de las redes neuronales artificiales, el desbalance de las clases ocasiona lentitud en la convergencia de las clases minoritarias, lo que se traduce en una pobre capacidad de generalización del clasificador. En este tr

APA, Harvard, Vancouver, ISO, and other styles

8

Sisman, Yilmaz Nuran Arzu. "A Temporal Neuro-fuzzy Approach For Time Series Analysis." Phd thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/570366/index.pdf.

Full text

Abstract:

The subject of this thesis is to develop a temporal neuro-fuzzy system for fore- casting the future behavior of a multivariate time series data. The system has two components combined by means of a system interface. First, a rule extraction method is designed which is named Fuzzy MAR (Multivari- ate Auto-regression). The method produces the temporal relationships between each of the variables and past values of all variables in the multivariate time series system in the form of fuzzy rules. These rules may constitute the rule-base in a fuzzy expert system. Second, a temporal neuro-fuzzy system

APA, Harvard, Vancouver, ISO, and other styles

9

Guan, Xing. "Predict Next Location of Users using Deep Learning." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-263620.

Full text

Abstract:

Predicting the next location of a user has been interesting for both academia and industry. Applications like location-based advertising, traffic planning, intelligent resource allocation as well as in recommendation services are some of the problems that many are interested in solving. Along with the technological advancement and the widespread usage of electronic devices, many location-based records are created. Today, deep learning framework has successfully surpassed many conventional methods in many learning tasks, most known in the areas of image and voice recognition. One of the neural

APA, Harvard, Vancouver, ISO, and other styles

10

Halabian, Faezeh. "An Enhanced Learning for Restricted Hopfield Networks." Thesis, Université d'Ottawa / University of Ottawa, 2021. http://hdl.handle.net/10393/42271.

Full text

Abstract:

This research investigates developing a training method for Restricted Hopfield Network (RHN) which is a subcategory of Hopfield Networks. Hopfield Networks are recurrent neural networks proposed in 1982 by John Hopfield. They are useful for different applications such as pattern restoration, pattern completion/generalization, and pattern association. In this study, we propose an enhanced training method for RHN which not only improves the convergence of the training sub-routine, but also is shown to enhance the learning capability of the network. Particularly, after describing the architectur

APA, Harvard, Vancouver, ISO, and other styles

11

Cheng, Martin Chun-Sheng, and pjcheng@ozemail com au. "Dynamical Near Optimal Training for Interval Type-2 Fuzzy Neural Network (T2FNN) with Genetic Algorithm." Griffith University. School of Microelectronic Engineering, 2003. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20030722.172812.

Full text

Abstract:

Type-2 fuzzy logic system (FLS) cascaded with neural network, called type-2 fuzzy neural network (T2FNN), is presented in this paper to handle uncertainty with dynamical optimal learning. A T2FNN consists of type-2 fuzzy linguistic process as the antecedent part and the two-layer interval neural network as the consequent part. A general T2FNN is computational intensive due to the complexity of type 2 to type 1 reduction. Therefore the interval T2FNN is adopted in this paper to simplify the computational process. The dynamical optimal training algorithm for the two-layer consequent part of inte

APA, Harvard, Vancouver, ISO, and other styles

12

Cheng, Martin Chun-Sheng. "Dynamical Near Optimal Training for Interval Type-2 Fuzzy Neural Network (T2FNN) with Genetic Algorithm." Thesis, Griffith University, 2003. http://hdl.handle.net/10072/366350.

Full text

Abstract:

Type-2 fuzzy logic system (FLS) cascaded with neural network, called type-2 fuzzy neural network (T2FNN), is presented in this paper to handle uncertainty with dynamical optimal learning. A T2FNN consists of type-2 fuzzy linguistic process as the antecedent part and the two-layer interval neural network as the consequent part. A general T2FNN is computational intensive due to the complexity of type 2 to type 1 reduction. Therefore the interval T2FNN is adopted in this paper to simplify the computational process. The dynamical optimal training algorithm for the two-layer consequent part of inte

APA, Harvard, Vancouver, ISO, and other styles

13

Čermák, Justin. "Implementace umělé neuronové sítě do obvodu FPGA." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219363.

Full text

Abstract:

This master's thesis describes the design of effective working artificial neural network in FPGA Virtex-5 series with the maximum use of the possibility of parallelization. The theoretical part contains basic information on artificial neural networks, FPGA and VHDL. The practical part describes the used format of the variables, creating non-linear function, the principle of calculation the single layers, or the possibility of parameter settings generated artificial neural networks.

APA, Harvard, Vancouver, ISO, and other styles

14

Al-Mudhaf, Ali F. "A feed forward neural network approach for matrix computations." Thesis, Brunel University, 2001. http://bura.brunel.ac.uk/handle/2438/5010.

Full text

Abstract:

A new neural network approach for performing matrix computations is presented. The idea of this approach is to construct a feed-forward neural network (FNN) and then train it by matching a desired set of patterns. The solution of the problem is the converged weight of the FNN. Accordingly, unlike the conventional FNN research that concentrates on external properties (mappings) of the networks, this study concentrates on the internal properties (weights) of the network. The present network is linear and its weights are usually strongly constrained; hence, complicated overlapped network needs to

APA, Harvard, Vancouver, ISO, and other styles

15

Levy, Pamela Campos. "Reconhecimento e segmentação do mycobacterium tuberculosis em imagens de microscopia de campo claro utilizando as características de cor e o algoritmo backpropagation." Universidade Federal do Amazonas, 2012. http://tede.ufam.edu.br/handle/tede/3292.

Full text

Abstract:

Made available in DSpace on 2015-04-22T22:00:46Z (GMT). No. of bitstreams: 1 Pamela Campos Levy.pdf: 4863540 bytes, checksum: 820e34768b005399acf73dec3e491ae5 (MD5) Previous issue date: 2012-08-24<br>FAPEAM - Fundação de Amparo à Pesquisa do Estado do Amazonas<br>Tuberculosis (TB) is an infectious disease transmitted by Koch's bacillus, or Mycobacterium tuberculosis. An estimated 1.4 million people died of tuberculosis in 2010. About 95% of these deaths occurred in developing countries, or development. In Brazil, each year are registered more than 68,000 new cases. Currently, Amazo

APA, Harvard, Vancouver, ISO, and other styles

16

Ahlehagh, Hasti. "Techniques for communication and geolocation using wireless ad hoc networks." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0526104-111538/.

Full text

APA, Harvard, Vancouver, ISO, and other styles

17

Valenta, Martin. "Predikce proteinových domén." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236163.

Full text

Abstract:

The work is focused on the area of the proteins and their domains. It also briefly describes gathering methods of the protein´s structure at the various levels of the hierarchy. This is followed by examining of existing tools for protein´s domains prediction and databases consisting of domain´s information. In the next part of the work selected representatives of prediction methods are introduced. These methods work with the information about the internal structure of the molecule or the amino acid sequence. The appropriate chapter outlines applied procedure of domains´ boundaries prediction.

APA, Harvard, Vancouver, ISO, and other styles

18

Hunter, Brandon. "Channel Probing for an Indoor Wireless Communications Channel." BYU ScholarsArchive, 2003. https://scholarsarchive.byu.edu/etd/64.

Full text

Abstract:

The statistics of the amplitude, time and angle of arrival of multipaths in an indoor environment are all necessary components of multipath models used to simulate the performance of spatial diversity in receive antenna configurations. The model presented by Saleh and Valenzuela, was added to by Spencer et. al., and included all three of these parameters for a 7 GHz channel. A system was built to measure these multipath parameters at 2.4 GHz for multiple locations in an indoor environment. Another system was built to measure the angle of transmission for a 6 GHz channel. The addition of th

APA, Harvard, Vancouver, ISO, and other styles

19

Vestin, Albin, and Gustav Strandberg. "Evaluation of Target Tracking Using Multiple Sensors and Non-Causal Algorithms." Thesis, Linköpings universitet, Reglerteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160020.

Full text

Abstract:

Today, the main research field for the automotive industry is to find solutions for active safety. In order to perceive the surrounding environment, tracking nearby traffic objects plays an important role. Validation of the tracking performance is often done in staged traffic scenarios, where additional sensors, mounted on the vehicles, are used to obtain their true positions and velocities. The difficulty of evaluating the tracking performance complicates its development. An alternative approach studied in this thesis, is to record sequences and use non-causal algorithms, such as smoothing, i

APA, Harvard, Vancouver, ISO, and other styles

20

Pear, Huang, and 黃宗慶. "Improvement of Back Propagation Algorithm by Error Saturation Prevention Method." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/28527021447087639836.

Full text

Abstract:

碩士<br>國立臺灣科技大學<br>電子工程技術研究所<br>86<br>Back Propagation algorithm is currently the most widely used learning algorithm in artificial neural networks. With properly selection of feed-forward neural network architecture, it is capable of approximating most problems with high accuracy and generalization ability. However, the slow convergence is a serious problem when using this well-known Back Propagation (BP) learning algorithm in many applications. As a result, many researchers take effort to improve the learning efficiency of BP algorithm by various enhancements. In our study, we consider th

APA, Harvard, Vancouver, ISO, and other styles

21

CHEN, JIAN-SONG, and 陳健松. "Analog VLSI implementation of the error-back-propagation neural network." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/17850742952387483943.

Full text

APA, Harvard, Vancouver, ISO, and other styles

22

Wu, Chen-Ling, and 吳晨翎. "A Novel Classification Algorithm Using Random Back-Propagation Neural Networks." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/5bc47r.

Full text

APA, Harvard, Vancouver, ISO, and other styles

23

Liang, Shu-fang, and 梁淑芳. "A Parallel Back-Propagation Algorithm with the Levenberg Marquardt Method." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/18644310071227714685.

Full text

Abstract:

碩士<br>東吳大學<br>資訊科學系<br>94<br>Due to the excellent learning capability of the artificial neural network (ANN), many researches are interesting in using it to solve problems in pattern recognition, cluster analysis, forecasting, etc. The ANN applications have been approved by many specialists and scholars from many fields of science. It's knows by practical application, ANN manipulates different learn rules, it’s disappear speed, variance and learn time, there are obvious differences. Among the supervised networks, the Back Propagation Network (BPN) model is the most popular and it is the basis

APA, Harvard, Vancouver, ISO, and other styles

24

Chaudhari, Gaurav Uday, Manohar V, and Biswajit Mohanty. "Function approximation using back propagation algorithm in artificial neural networks." Thesis, 2007. http://ethesis.nitrkl.ac.in/4215/1/Function_Approximation_using_Back_Propagation_Algorithm_in_Artificial_neural_networks__3.pdf.

Full text

Abstract:

Inspired by biological neural networks, Artificial neural networks are massively parallel computing systems consisting of a large number of simple processors with many interconnections. They have input connections which are summed together to determine the strength of their output, which is the result of the sum being fed into an activation function. Based on architecture ANNs can be feed forward network or feedback networks. Most common family of feed-forward networks, called multilayer perceptron, neurons are organized into layers that have unidirectional connections between them. These conn

APA, Harvard, Vancouver, ISO, and other styles

25

Yu-Wen, Lin, and 林郁文. "Forecasting Exchange Rate by Genetic Algorithm Based Back Propagation Network Model." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/70849697654226511825.

Full text

Abstract:

碩士<br>國立高雄應用科技大學<br>國際企業系<br>97<br>Forecasting currency exchange rates is an important issue in finance. This topic has received much attention, particularly in econometrics and financial selection of variables that influence forecasts. In this paper, a new forecasting model is constructed: we adopt a Genetic Algorithm (GA) to provide the optimal variables weight and we select the optimal set of variables as the input layer neurons, and then we predict the exchange rates with the Back Propagation Network (BPN), called the Genetic Algorithm Based Back Propagation Network model (GABPN). Basicall

APA, Harvard, Vancouver, ISO, and other styles

26

Xie, Zhen-Hong, and 謝鎮鴻. "Convergence characteristics of back propagation algorithm to a bypass neural network." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/68593006948914059733.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Chin, Da-Zen, and 秦大仁. "Combining Two-Dimensional Cepstrum and Extended Back-Propagation Algorithm to Speech Recognition." Thesis, 1999. http://ndltd.ncl.edu.tw/handle/12737069190595924368.

Full text

Abstract:

碩士<br>義守大學<br>電子工程學系<br>87<br>For almost four decades, research in automatic speech recognition by machine has been done. A successful recognition system requires knowledge and expertise from a wide range of disciplines. For human, speech recognition is a natural and simple process. However, to make a computer respond to even simple spoken commands is an extremely complex and difficult task. In spite of the enormous research efforts spent in trying to create an intelligent machine which can recognize the spoken words and comprehend its meaning, we are far away from achieving the desired goal o

APA, Harvard, Vancouver, ISO, and other styles

28

KHATRI, HARSH. "RECOMMENDER SYSTEM BASED ON AFFECTIVE FEEDBACK INCORPORATING HYBRID OPTIMIZATION ALGORITHM." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14687.

Full text

Abstract:

Websites have become more and more dynamic but they still lack intelligence. Although websites are able to mould themselves according to users’ preferences and mouse clicks yet they cannot predict the content user might like, intelligently. The amount of data collected online by web-sites is increasing and therefore the demand for unique content by users is increasing every day. This need for self-organizing and transforming websites, to suit every customer’s requirements has become a challenging problem. This work concentrates on solving the problem of creating relevant content for each user.

APA, Harvard, Vancouver, ISO, and other styles

29

Chen, Shi-Hsien, and 陳士賢. "Short-Term Thermal Generating Unit Commitment by Back Propagation Network and Genetic Algorithm." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/08530828674155252707.

Full text

Abstract:

碩士<br>國立中山大學<br>電機工程學系研究所<br>89<br>Unit commitment is one of the most important subjects with respect to the economical operation of power systems, which attempts to minimize the total thermal generating cost while satisfying all the necessary restrictive conditions. 　　This thesis proposes a short-term thermal generating unit commitment by genetic algorithm and back propagation network. Genetic algorithm is based on the optimization theory developed from natural evolution principles, and in the optimization process, seeks a set of solutions simultaneously rather than any single one by adopti

APA, Harvard, Vancouver, ISO, and other styles

30

Tseng, Chia-Ming, and 曾嘉明. "Neural-Based Packet Equalization for Indoor Radio Channel by Fast Back Propagation Algorithm." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/39356562410865805443.

Full text

Abstract:

碩士<br>國立交通大學<br>傳播科技研究所<br>81<br>In this thesis, a new decision feedback equalizer (DFE) based on neural network is proposed to overcome the multipath fading problem of the indoor radio channel. And the fast packet bipolar-state back propagation (fast PBSBP) algorithm is proposed for the training of the neural-based DFE. This algorithm is featured as: (1) high convergence rate, and (2) capable of tracking the time variations of the channel charateristics. Moreover, we use 2-D real-vector re

APA, Harvard, Vancouver, ISO, and other styles

31

Lin, Chia-Tseng, and 林家增. "THE STUDY ON FUZZY NEURAL NETWORK CONTROLLER USING ARTIFICIAL IMMUNE BACK-PROPAGATION ALGORITHM." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/90209604944539874518.

Full text

Abstract:

碩士<br>大同大學<br>電機工程學系(所)<br>99<br>A fuzzy neural network (FNN) identifier based on back-propagation artificial immune (BPIA) algorithm, named the FNN-BPIA controller, is proposed for the nonlinear systems in this thesis. The proposed controller is composed of an FNN identifier, an IA estimator, a hitting controller, and a computation controller. Firstly, The FNN identifier is utilized to estimate the dynamics of the nonlinear system. These parameters which include weights, means, and standard deviations of the FNN identifier are adjusted by the BP algorithm. Secondly, the initial values which i

APA, Harvard, Vancouver, ISO, and other styles

32

Sheng, Tang Tien, and 唐天生. "The Studies of A Neural Network Fuzzy Controller and A Grey Back Propagation Algorithm." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/18005035464066460461.

Full text

Abstract:

博士<br>國防大學中正理工學院<br>國防科學研究所<br>92<br>This article is consisted of two subjects. The first one is the study of neural network fuzzy controller; the second is the study of grey back propagation（GBP）algorithm. First, this paper presents two learning methods for automatically generating fuzzy if-then rules in the neural network fuzzy controller. One is the combining heuristic method with back propagation（BP）algorithm method; the other is the hybrid neural network learning method. Through computer simulations, the proposed two methods are shown to have following advantages: （1）It is unne

APA, Harvard, Vancouver, ISO, and other styles

33

Kim, Seong-Hee. "Intelligent information retrieval using an inductive learning algorithm and a back-propagation neural network." 1994. http://catalog.hathitrust.org/api/volumes/oclc/32620649.html.

Full text

Abstract:

Thesis (Ph. D.)--University of Wisconsin--Madison, 1994.<br>Typescript. eContent provider-neutral record in process. Description based on print version record. Includes bibliographical references (leaves 173-189).

APA, Harvard, Vancouver, ISO, and other styles

34

Lin, Jun-Shuw, and 林宗順. "Constructing the Wafer Yield Prediction Model Using Genetic Algorithm and Back-Propagation Neural Network." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/93330461139548193587.

Full text

APA, Harvard, Vancouver, ISO, and other styles

35

Chang, Po-Chun, and 張博鈞. "Error propagation-free data hiding algorithm for HEVC and H.264/AVC intra-coded frames." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/62497248698754412458.

Full text

Abstract:

博士<br>國立臺灣科技大學<br>資訊工程系<br>102<br>Previously several data hiding methods were presented for H.264/AVC, but they suffer from the error propagation problem in intra-coded frames. In this thesis, we present the first DCT/DST-based data hiding algorithm for HEVC intra-coded frames where the block DCT and DST coefficient characteristics are investigated to locate the transformed coefficients that can be perturbed without propagating errors to neighboring blocks.The proposed DCT/DST-based data hiding algorithm for HEVC is the extension of our another DCT-based data hiding algorithm for H.264/AVC. Ex

APA, Harvard, Vancouver, ISO, and other styles

36

Chang, Fu-Kai, and 張富凱. "Recurrent Fuzzy Neural System Design and Its Applications Using A Hybrid Algorithm of Electromagnetism-like and Back-propagation." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/58699938852425541579.

Full text

Abstract:

碩士<br>元智大學<br>電機工程學系<br>96<br>Based on the electromagnetism-like algorithm (EM), we propose two kinds of novel hybrid learning algorithms. One is the improved EM algorithm with BP technique (IEMBP) and the other is the improved EM algorithm with GA technique (IEMGA) for recurrent fuzzy neural system design. IEMBP and IEMGA are composed of initialization, local search, total force calculation, movement, and evaluation. They are hybridization of EM and BP, EM and GA, respectively. EM algorithm is a population-based meta-heuristic originated from the electromagnetism theory. For recurrent fuzzy n

APA, Harvard, Vancouver, ISO, and other styles

37

Chen, Chan-Pei, and 陳占霈. "Analog CMOS VLSI Implementations of a Neural Network with On- Chip Back-Error Propagation Learning and Their Real-time Applications." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/65794311006074697112.

Full text

Abstract:

碩士<br>逢甲大學<br>資訊工程研究所<br>84<br>In this thesis, we proposed implementations of a feed- forward net withon-chip back-error propagation learning using analog CMOS VLSI technology. By proper hierarchical and modular design, we divide the whole circuit architecture into two chips, a 3x3 synapse chip and a variable gain neuronchip. In this way, we can build arbitrary neural network topologies via connecting various number of these neural chips in serial or parallel . The synapse chip contains 3 a

APA, Harvard, Vancouver, ISO, and other styles

38

Lei, Ho Chun, and 雷賀君. "A Rapid Diagnosis System for Anterior Cruciate Ligament Injury- Using Rough sets、Genetic Algorithm and Back Propagation Neural Network." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/25005222240908956730.

Full text

Abstract:

碩士<br>大葉大學<br>工業工程學系碩士班<br>92<br>The technology of data mining can reduce the cost of maintains data and increase the added value of data. The most important thing is it can find some benefits hidden behind data. Data with a large number and out of order not only increase the difficult of data mining but also result in error of data analysis since the incompleteness of information. For the above mentioned, this research combine the Rough Sets and Genetic Algorithm as the tool of data mining to solve problems from data uncertainly ,and keep the accuracy of the classified rule. Anothe

APA, Harvard, Vancouver, ISO, and other styles

39

Chang, Miao-Han, and 昌妙韓. "Off-Bed Model and Sensing Detection System for Human Body Using the Back-Propagation Neural Network Algorithm: Design and Implementation." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/60606134593793467642.

Full text

Abstract:

碩士<br>國立屏東科技大學<br>資訊管理系所<br>102<br>As the populace of elderly is growing quickly, the healthcare system based the state-of-the-art ICT technology is more and more important. According to the statistics of Department of Health Executive Yuan, falling-down accident is the second place of elder accident injury. In addition, there are 30% people, who will fall down in the hospital. Most falls occur at the time points of out off the bed and get on the bed in the hospital. At before, although the hospital provided the emergent bell beside the bed for emergency calls, there are few patients using the

APA, Harvard, Vancouver, ISO, and other styles

40

Huang, Chien-Yu, and 黃建裕. "Optimizing Time Series Related Factors for the Forecasting Model by Employing the Taguchi Method, Back-propagation Network and Genetic Algorithm." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/11440061245469905830.

Full text

Abstract:

博士<br>國立成功大學<br>工業與資訊管理學系碩博士班<br>94<br>To satisfy the volatile nature of today's markets, businesses require a significant reduction in product development lead times. Consequently, the ability to develop product sales forecasts accurately is of fundamental importance to decision-makers. Over the years, many forecasting techniques of varying capabilities have been introduced. The precise extent of their influences, and the interactions between them, has never been fully clarified, though various forecasting factors have been explored in previous studies. Accordingly, this study adopts the Tagu

APA, Harvard, Vancouver, ISO, and other styles

41

BISWAS, ANUBHAB. "SIZE PREDICTION OF SILVER NANOPARTICLES USING ARTIFICIAL NEURAL NETWORK." Thesis, 2022. http://dspace.dtu.ac.in:8080/jspui/handle/repository/19640.

Full text

Abstract:

The study emphasized the estimation and prediction of the size of silver nanoparticles, which are prepared via green synthesis, using the concept of an artificial neural network. A certain number of recordings of a suitable, thoroughly conducted experiment was taken into account, in which parameters like concentration of plant extract, reaction temperature, the concentration of silver nitrate and stirring duration were taken as input, whereas the size of silver nanoparticles was taken as the undisputed output. After taking all the possible parameters into account, we have been able

APA, Harvard, Vancouver, ISO, and other styles

42

Fick, Machteld. "Neurale netwerke as moontlike woordafkappingstegniek vir Afrikaans." Diss., 2002. http://hdl.handle.net/10500/584.

Full text

Abstract:

Text in Afrikaans<br>Summaries in Afrikaans and English<br>In Afrikaans, soos in NederJands en Duits, word saamgestelde woorde aanmekaar geskryf. Nuwe woorde word dus voortdurend geskep deur woorde aanmekaar te haak Dit bemoeilik die proses van woordafkapping tydens teksprosessering, wat deesdae deur rekenaars gedoen word, aangesien die verwysingsbron gedurig verander. Daar bestaan verskeie afkappingsalgoritmes en tegnieke, maar die resultate is onbevredigend. Afrikaanse woorde met korrekte lettergreepverdeling is net die elektroniese weergawe van die handwoordeboek van die Afrikaanse Taa

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!