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Rozprawy doktorskie na temat „Artificial neural network”

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Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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1

BRUCE, WILLIAM, and OTTER EDVIN VON. "Artificial Neural Network Autonomous Vehicle : Artificial Neural Network controlled vehicle." Thesis, KTH, Maskinkonstruktion (Inst.), 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191192.

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This thesis aims to explain how a Artificial Neural Network algorithm could be used as means of control for a Autonomous Vehicle. It describes the theory behind the neural network and Autonomous Vehicles, and how a prototype with a camera as its only input can be designed to test and evaluate the algorithms capabilites, and also drive using it. The thesis will show that the Artificial Neural Network can, with a image resolution of 100 × 100 and a training set with 900 images, makes decisions with a 0.78 confidence level.<br>Denna rapport har som mal att beskriva hur en Artificiellt Neuronnatve

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Смаль, Богдан Віталійович. "Artificial Neural Network." Thesis, Київський національний університет технологій та дизайну, 2017. https://er.knutd.edu.ua/handle/123456789/7384.

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Chambers, Mark Andrew. "Queuing network construction using artificial neural networks /." The Ohio State University, 2000. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488193665234291.

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Leija, Carlos Ivan. "An artificial neural network with reconfigurable interconnection network." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2008. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Alkharobi, Talal M. "Secret sharing using artificial neural network." Diss., Texas A&M University, 2004. http://hdl.handle.net/1969.1/1223.

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Secret sharing is a fundamental notion for secure cryptographic design. In a secret sharing scheme, a set of participants shares a secret among them such that only pre-specified subsets of these shares can get together to recover the secret. This dissertation introduces a neural network approach to solve the problem of secret sharing for any given access structure. Other approaches have been used to solve this problem. However, the yet known approaches result in exponential increase in the amount of data that every participant need to keep. This amount is measured by the secret sharing scheme

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6

Zhao, Lichen. "Random pulse artificial neural network architecture." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0006/MQ36758.pdf.

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Parzhin, Yu, А. Rohovyi, and V. Nevliudova. "Detector Artificial Neural Network. Neurobiological rationale." Thesis, ХНУРЕ, 2019. http://openarchive.nure.ua/handle/document/10037.

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On the basis of the formulated hypotheses the information model of a neuron-detector is suggested, the detector being one of the basic elements of a detector artificial neural network (DANN). The paper subjects the connectionist paradigm of ANN building to criticism and suggests a new presentation paradigm for ANN building and neuroelements (NE) learning. The adequacy of the suggested model is proved by the fact that is does not contradict the modern propositions of neuropsychology and neurophysiology.

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8

Ng, Justin. "Artificial Neural Network-Based Robotic Control." DigitalCommons@CalPoly, 2018. https://digitalcommons.calpoly.edu/theses/1846.

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Artificial neural networks (ANNs) are highly-capable alternatives to traditional problem solving schemes due to their ability to solve non-linear systems with a nonalgorithmic approach. The applications of ANNs range from process control to pattern recognition and, with increasing importance, robotics. This paper demonstrates continuous control of a robot using the deep deterministic policy gradients (DDPG) algorithm, an actor-critic reinforcement learning strategy, originally conceived by Google DeepMind. After training, the robot performs controlled locomotion within an enclosed area. The pa

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9

Lukashev, A. "Basics of artificial neural networks (ANNs)." Thesis, Київський національний університет технологій та дизайну, 2018. https://er.knutd.edu.ua/handle/123456789/11353.

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10

Khazanova, Yekaterina. "Experiments with Neural Network Libraries." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1527607591612278.

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11

Brunger, Clifford A. "Artificial neural network modeling of damaged aircraft." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1994. http://handle.dtic.mil/100.2/ADA283227.

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12

Tang, Chuan Zhang. "Artificial neural network models for digital implementation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1996. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/nq30298.pdf.

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Tupas, Ronald-Ray Tiñana. "Artificial neural network modelling of filtration performance." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0011/MQ59890.pdf.

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14

Luan, Wenpeng. "Voltage ranking using artificial neural network method." Thesis, University of Strathclyde, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.366960.

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15

Bataineh, Mohammad Hindi. "Artificial neural network for studying human performance." Thesis, University of Iowa, 2012. https://ir.uiowa.edu/etd/3259.

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The vast majority of products and processes in industry and academia require human interaction. Thus, digital human models (DHMs) are becoming critical for improved designs, injury prevention, and a better understanding of human behavior. Although many capabilities in the DHM field continue to mature, there are still many opportunities for improvement, especially with respect to posture- and motion-prediction. Thus, this thesis investigates the use of artificial neural network (ANN) for improving predictive capabilities and for better understanding how and why human behave the way they do. Wit

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Choi, Hyunjong. "Medical Image Registration Using Artificial Neural Network." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1523.

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Image registration is the transformation of different sets of images into one coordinate system in order to align and overlay multiple images. Image registration is used in many fields such as medical imaging, remote sensing, and computer vision. It is very important in medical research, where multiple images are acquired from different sensors at various points in time. This allows doctors to monitor the effects of treatments on patients in a certain region of interest over time. In this thesis, artificial neural networks with curvelet keypoints are used to estimate the parameters of registra

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17

Baker, Thomas Edward. "Implementation limits for artificial neural networks." Full text open access at:, 1990. http://content.ohsu.edu/u?/etd,268.

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18

Cottens, Pablo Eduardo Pereira de Araujo. "Development of an artificial neural network architecture using programmable logic." Universidade do Vale do Rio dos Sinos, 2016. http://www.repositorio.jesuita.org.br/handle/UNISINOS/5411.

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Submitted by Silvana Teresinha Dornelles Studzinski (sstudzinski) on 2016-06-29T14:42:16Z No. of bitstreams: 1 Pablo Eduardo Pereira de Araujo Cottens_.pdf: 1315690 bytes, checksum: 78ac4ce471c2b51e826c7523a01711bd (MD5)<br>Made available in DSpace on 2016-06-29T14:42:16Z (GMT). No. of bitstreams: 1 Pablo Eduardo Pereira de Araujo Cottens_.pdf: 1315690 bytes, checksum: 78ac4ce471c2b51e826c7523a01711bd (MD5) Previous issue date: 2016-03-07<br>Nenhuma<br>Normalmente Redes Neurais Artificiais (RNAs) necessitam estações de trabalho para o seu processamento, por causa da complexidade do siste

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Tsui, Kwok Ching. "Neural network design using evolutionary computing." Thesis, King's College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.299918.

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Xu, Shuxiang. "Neuron-adaptive neural network models and applications /." [Campbelltown, N.S.W. : The Author], 1999. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030702.085320/index.html.

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21

Beckenkamp, Fábio Ghignatti. "A component architecture for artificial neural network systems." [S.l. : s.n.], 2002. http://deposit.ddb.de/cgi-bin/dokserv?idn=964923580.

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22

Leong, Cheok Fan. "Approximation theory of multilayer feedforward artificial neural network." Thesis, University of Macau, 2002. http://umaclib3.umac.mo/record=b1446728.

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23

Theramongkol, Phunsak. "Intelligent ozone-level forecasting using artificial neural network." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape4/PQDD_0021/MQ54752.pdf.

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24

Zahra, Fathima. "Artificial neural network approach to transmission line relaying." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0001/MQ42465.pdf.

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25

Thirkell, Lawrence Alexander. "An artificial neural network approach to authorship determination." Thesis, Heriot-Watt University, 1993. http://hdl.handle.net/10399/1418.

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Johnson, D. E. "Analogue VLSI implementation of an artificial neural network." Thesis, University of Liverpool, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.367276.

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27

Kannemeyer, Johan Etienne. "Artificial neural network decoding of multi-h CPM." Master's thesis, University of Cape Town, 1997. http://hdl.handle.net/11427/19638.

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The purpose of this report is to set out the results of an investigation into the artificial neural network (ANN) decoding of multi-h continuous phase modulation (CPM) schemes. Multi-h CPM schemes offer forward error correction (FEC) capabilities for continuous transmission, digital communication systems. Multi-h CPM is reported to be a bandwidth efficient alternative to other FEC techniques such as convolutional coding, while neural networks allow for high speed decoding. A neural network decoder was found in [12], where it had been used for the decoding of a convolutional code. This neural n

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28

Chan, Kwok Hung Billy Carleton University Dissertation Engineering Mechanical and Aerospace. "Predicting weld features using artificial neural network technology." Ottawa, 1996.

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Mryyan, Mahmoud. "Environmental site characterization via artificial neural network approach." Diss., Manhattan, Kan. : Kansas State University, 2008. http://hdl.handle.net/2097/1120.

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30

Wu, Chung-Yu. "Predicting water table fluctuations using artificial neural network." College Park, Md.: University of Maryland, 2008. http://hdl.handle.net/1903/8826.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2008.<br>Thesis research directed by: Fischell Dept. of Bioengineering . Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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31

Dario, Ugo <1986&gt. "Forecasting energy market: an artificial neural network approach." Master's Degree Thesis, Università Ca' Foscari Venezia, 2015. http://hdl.handle.net/10579/5810.

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Artificial Neural Network as a universal function approximators can be used for mapping any nonlinear function. Used in different fields of application (congnitive science, engineering, biology, finance..), ANN have become popular in finance for their power in pattern recognition, classification and forecasting. This paper specifically examines the used of ANN in the energy market in order to build a forecast price on the energy commodities. A brief study on the feature of the energy market, in particular crude oil and natural gas prices, will be followed by an implementation of an ANN system

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32

Keisala, Simon. "Designing an Artificial Neural Network for state evaluation in Arimaa : Using a Convolutional Neural Network." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-143188.

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Agents being able to play board games such as Tic Tac Toe, Chess, Go and Arimaa has been, and still is, a major difficulty in Artificial Intelligence. For the mentioned board games, there is a certain amount of legal moves a player can do in a specific board state. Tic Tac Toe have in average around 4-5 legal moves, with a total amount of 255168 possible games. Both Chess, Go and Arimaa have an increased amount of possible legal moves to do, and an almost infinite amount of possible games, making it impossible to have complete knowledge of the outcome. This thesis work have created various Neu

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33

Lind, Benjamin. "Artificial Neural Networks for Image Improvement." Thesis, Linköpings universitet, Datorseende, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-137661.

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After a digital photo has been taken by a camera, it can be manipulated to be more appealing. Two ways of doing that are to reduce noise and to increase the saturation. With time and skills in an image manipulating program, this is usually done by hand. In this thesis, automatic image improvement based on artificial neural networks is explored and evaluated qualitatively and quantitatively. A new approach, which builds on an existing method for colorizing gray scale images is presented and its performance compared both to simpler methods and the state of the art in image denoising. Saturation

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34

Åström, Fredrik. "Neural Network on Compute Shader : Running and Training a Neural Network using GPGPU." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2036.

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In this thesis I look into how one can train and run an artificial neural network using Compute Shader and what kind of performance can be expected. An artificial neural network is a computational model that is inspired by biological neural networks, e.g. a brain. Finding what kind of performance can be expected was done by creating an implementation that uses Compute Shader and then compare it to the FANN library, i.e. a fast artificial neural network library written in C. The conclusion is that you can improve performance by training an artificial neural network on the compute shader as long

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Tracy, Justin. "Prediction of wind speeds with an artificial neural network." Click here to view, 2010. http://digitalcommons.calpoly.edu/eesp/24/.

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Thesis (B.S.)--California Polytechnic State University, 2010.<br>Project advisor: Xiao-Hua Yu. Title from PDF title page; viewed on Apr. 20, 2010. Includes bibliographical references. Also available on microfiche.

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Xu, Le Yan. "Artificial neural network short-term electrical load forecasting techniques." Thesis, University of Macau, 1999. http://umaclib3.umac.mo/record=b1445624.

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Zeng, Shi-Ran, and 曾世任. "Artificial Neural Network for Image Recognition." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/87588825955623867932.

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碩士<br>國立高雄海洋科技大學<br>電訊工程研究所<br>99<br>Biometrics is a common topic. In this field, neural network is a common machine learning algorithm, and it has been applied to many fields. Recently, support vector machines (referred to as SVM) which is based on statistical learning theory catches the most attention. It is because SVM has the better recognition capability and faster calculation speed than the general neural networks; furthermore, it does not have the situation of over-learning. There are many researches proving that SVM has good performance of recognition in the open literature. Probabili

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Hwang, Yih-Shyan, and 黃議賢. "Password Authentication Using Artificial Neural Network." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/00101971263020082688.

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碩士<br>國立中興大學<br>應用數學研究所<br>82<br>In this dissertation, a password authentication scheme based on artificial neural network model with modified perceptron algorithm and a strong cryptographic operation such as DES(data encryption standard) is proposed. Because of parallel computing characteristics of artificial neural network, the scheme can quickly and efficiently respond to any login attempt. Thus, it is suitable for real-time service. Moreover, each user is completely free to choose his

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Su, chutin, and 蘇祝鼎. "Artificial Neural Network for Dipole Localization." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/64838032357715825842.

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碩士<br>國立交通大學<br>控制工程系<br>85<br>In this thesis, we use the neural networks to deal with the problem of dipole localization. We aim at estimating location, orientation, and moment strength of a single dipole which induces epilepsy in human brain. The inverseproblem is a highly nonlinear approximation process. We applied current dipolemodel to generate the brain electrical potential distribution on the scalp. The dipole and its corresponding brain potentials were used as t

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Chen, You-Yu, and 陳宥諭. "DOA Estimation with Artificial Neural Network." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/2pxvzy.

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碩士<br>國立交通大學<br>電信工程研究所<br>107<br>A uniform linear array can receive multiple unequal power signals coming from different direction-of-arrival (DOA). This thesis considers DOA estimation with artificial neural network (NN). Conventional NN approaches are not effective for the unequal-power scenario. Also, the computational complexity is very high. Incorporating signal processing techniques, we propose two NNs to solve the problems. The first NN divides the estimation range into sectors, and consists of a spatial filter and a classifier. With a rotation operation, a spatial filter and a classif

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SINGH, ASHISH KUMAR. "RAINFALL FORECASTING USING ARTIFICIAL NEURAL NETWORK." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15552.

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Rainfall forecasting is the application of science and technology to predict the state of rainfall for a given location. This is done by collecting the quantitative data of the rainfall and using scientific understanding of the rainfall process to forecast the future conditions. In India, Rainfall forecasting is done by Indian Meteorological Department (IMD), New Delhi which provides the real-time monitoring and statistical analysis of district-wise daily rainfall. Several research works have been done using different methodologies of which the ANN technique is the fastest and provides reliabl

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Guha, Devi Rani. "Artificial Neural Network Based Channel Equalization." Thesis, 2011. http://ethesis.nitrkl.ac.in/2081/1/devi-thesis-corrected.pdf.

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The field of digital data communications has experienced an explosive growth in the last three decade with the growth of internet technologies, high speed and efficient data transmission over communication channel has gained significant importance. The rate of data transmissions over a communication system is limited due to the effects of linear and nonlinear distortion. Linear distortions occure in from of inter-symbol interference (ISI), co-channel interference (CCI) and adjacent channel interference (ACI) in the presence of additive white Gaussian noise. Nonlinear distortions are caused due

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Xue, Kuo Qiang, and 薛國強. "An intelligent sales forecasting system through artificial neural networks and fuzzy neural network." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/07455980576654976365.

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Lin, Tz-tsau, and 林子超. "Structural Damage Detection using Artificial Neural Network." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/61054947437243824323.

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碩士<br>國立成功大學<br>航空太空工程學系<br>85<br>This thesis presents an approach based on the artificial neural network to detect damages in a structure. By using the modal information of a structure before and after damage, we construct an artificial neural network model.The neural network is trained by examples which simulate various cases of structural damage using the finite element model of the structural system. The objective is to detect possible damage, including both extent and location,in

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Lin, I.-Chih, and 林奕志. "Infrared Face Recognition Using Artificial Neural Network." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/70053617787203072670.

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碩士<br>國立高雄第一科技大學<br>電腦與通訊工程所<br>92<br>This research aims at the construction of an infrared face recognition system. Although the development of the visible face recognition system has been developed for many years, as well as many other recognition algorithms, the performance is not satisfactory, due to several environmental distracters, such as light, the instruments, which bring about the problems of feature extraction. However, as far as this infrared face recognition system is concerned, based on the heat radiation of the human body, the final extracted information is the actual temperatu

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Horng, Yu Jing, and 洪毓鈞. "Process Optimization via an Artificial Neural Network." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/61356944221656412222.

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碩士<br>逢甲大學<br>化學工程研究所<br>83<br>In this thesis, we consider the issue of applying neural network to the process optimization problem and robust controller design problem. The objective function of unconstrainted optimization problem can be mapped on to the energy function of the artificail neural network(ANN)in a direct way, and the network will find the minimum by obeying its own dynamics. For the optimization problem with constraints, we used the augmented Lagrange multiplier method

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47

WANG, YOU-REN, and 王祐人. "Artificial neural network for digits pattern recognition." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/09177770124098150633.

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Gau, Peng-wei, and 高鵬惟. "Image Fusion Algorithm using Artificial Neural Network." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/85802827401493351920.

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碩士<br>義守大學<br>資訊工程學系碩士班<br>97<br>The wavelength of visible light is between 0.4~0.7μm which is also the range of most electro-optical device. However, in additional to visible lights, there are many other devices providing useful information hidden in a variety of wavelength. Among those applications, infrared information is most widely used. Infrared information essentially responds the thermal information of objects in the scene. One of its unique features is that visible sensors see nothing in the night while the infrared sensors see things such as animals and buildings, which emit “hot”. S

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Wang, Chen-Kuei, and 王珍貴. "Simulating Typhoon Rainfall with Artificial Neural Network." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/68782924427622053889.

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碩士<br>國立成功大學<br>水利及海洋工程學系碩博士班<br>95<br>Typhoon brought abundant rainfall on its covering area along moving path. The characteristics of typhoon itself and local terrain and meteorological factors of a gage station affect the amount of rainfall. It is difficult to estimate the real-time rainfall depth of typhoon because the relationship between rainfall and related factors is non-linear and interact. In this thesis, a Back-Propagation Artificial Neural Network model (BPN) was adopted to simulate and forecast rainfall. This model could imitate the complicated non-linear behavior of rainfall

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王奕鈞. "Cadastral Coordinate Transformation Using Artificial Neural Network." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/85629959425775248835.

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碩士<br>國立政治大學<br>地政研究所<br>94<br>Currently, there are two cadastral coordinate systems used in Taiwan. They are TWD67 (Taiwan Datum 1967) and TWD97 (Taiwan Datum 1997) cadastral coordinate systems respectively. Frequently it is necessary to transform from one coordinate system to another. One of the most widely used method is Least-Squares with affine transformations. The artificial neural network (ANN) provides a new technology for cadastral coordinate transformation. The popularity of this methodology is rapidly growing. The greatest advantage of ANN is that it can be used very successfully w

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