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Dissertations / Theses on the topic 'Hidden layers'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Pandozzi, Fabiano. "Spectroscopic analysis of fractal scattering and hidden layers in complex scattering samples." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=106384.

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Near-infrared optical spectroscopic measurement of samples is an important analytical tool for the determination of properties such as particle size, chromophore composition, and concentration. This information is invaluable for sample assessment in pharmaceutical, agricultural, and environmental areas. However, samples often exhibit significant light scattering, which complicates measurements. This thesis investigates chemometric approaches including power law and component analysis methods to extract useful sample information from data, while simplified instrumentation is developed to facili

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2

Reichenbächer, Helmut. "Reading hidden layers, a genetic analysis of the drafts of Margaret Atwood's novels The edible woman and Bodily harm." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape11/PQDD_0008/NQ41492.pdf.

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3

SANTOS, GEAN R. dos. "Algoritmo de colônia de formigas e redes neurais artificiais aplicados na monitoração e detecção de falhas em centrais nucleares." reponame:Repositório Institucional do IPEN, 2016. http://repositorio.ipen.br:8080/xmlui/handle/123456789/26798.

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Submitted by Claudinei Pracidelli (cpracide@ipen.br) on 2016-11-11T09:45:23Z No. of bitstreams: 0<br>Made available in DSpace on 2016-11-11T09:45:23Z (GMT). No. of bitstreams: 0<br>Um desafio recorrente em processos produtivos é o desenvolvimento de sistemas de monitoração e diagnóstico. Esses sistemas ajudam na detecção de mudanças inesperadas e interrupções, prevenindo perdas e mitigando riscos. Redes Neurais Artificiais (RNA) têm sido largamente utilizadas na criação de sistemas de monitoração. Normalmente as RNA utilizadas para resolver este tipo de problema são criadas levando-se em cont

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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.

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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.

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Pratt, Kenrick A. "Evaluation of hidden layer architecture in neural networks for mRNA backtranslation." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2003. http://digitalcommons.auctr.edu/dissertations/2786.

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Many biological experiments require a protein sequence to be translated to the nucleic acid sequence that codes for it or require an investigator to possess a means to “backtranslate” a protein to its amino acid sequence. However, the degenerate nature of the genetic code greatly frustrates this process through ambiguities in the wobble bases. One possible solution to this dilemma is to predict codon usage frequencies for a target organism through use of an Artificial Neural Network. Consequently, a Neural Network was trained on amino and nucleic acid sequences to determine the network’s capac

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6

Sefastsson, Ulf, and Per Sefastsson. "Inflation Forecasting in Sweden using Single Hidden Layer Feedforward Artificial Neural Networks." Thesis, Stockholms universitet, Nationalekonomiska institutionen, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-141675.

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Inflation affects many economic processes, and it is therefor crucial for economic agents to have reliable forecasts of it. In this thesis, single hidden layer feedforward artificial neural networks were used to predict the year-on-year consumer price index inflation rate in Sweden for the period 2013-01-01 – 2016-06-30. Separate networks were estimated for each prediction horizon, ranging from 1 to 24 months. The root mean square errors were computed for each horizon, which were then compared with the predictions issued by the Riksbank and two linear models (Autoregressive Moving Average and

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7

Arriola, Yosu. "Integration of multi-layer perception and hidden Markov models for automatic speech recognition." Thesis, Staffordshire University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.292239.

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8

Houck, Christopher A. "Hide and Seek: An Architecture of Layers." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/51791.

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This project is an elementary school located in a suburban area outside of Williamsburg, Virginia. The building is sited on an eight acre plot of wooded land and is designed for 100 students. A playground is designed as a counterpart to the school. A design approach which resembles the layering of space is developed through the drawings. The experience of these spaces establishes a dialogue between building and student likened to a game of hide and seek.<br>Master of Architecture

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9

Fischer, Manfred M., and Sucharita Gopal. "Learning in Single Hidden Layer Feedforward Network Models: Backpropagation in a Real World Application." WU Vienna University of Economics and Business, 1994. http://epub.wu.ac.at/4192/1/WSG_DP_3994.pdf.

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Leaming in neural networks has attracted considerable interest in recent years. Our focus is on learning in single hidden layer feedforward networks which is posed as a search in the network parameter space for a network that minimizes an additive error function of statistically independent examples. In this contribution, we review first the class of single hidden layer feedforward networks and characterize the learning process in such networks from a statistical point of view. Then we describe the backpropagation procedure, the leading case of gradient descent learning algorithms for th

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10

Rech, Gianluigi. "Modelling and forecasting economic time series with single hidden-layer feedforward autoregressive artificial neural networks." Doctoral thesis, Handelshögskolan i Stockholm, Ekonomisk Statistik (ES), 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-591.

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This dissertation consists of 3 essays In the first essay, A Simple Variable Selection Technique for Nonlinear Models, written in cooperation with Timo Teräsvirta and Rolf Tschernig, I propose a variable selection method based on a polynomial expansion of the unknown regression function and an appropriate model selection criterion. The hypothesis of linearity is tested by a Lagrange multiplier test based on this polynomial expansion. If rejected, a kth order general polynomial is used as a base for estimating all submodels by ordinary least squares. The combination of regressors leading to the

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11

Taub, Lawrence. "Application of a Layered Hidden Markov Model in the Detection of Network Attacks." NSUWorks, 2013. http://nsuworks.nova.edu/gscis_etd/320.

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Network-based attacks against computer systems are a common and increasing problem. Attackers continue to increase the sophistication and complexity of their attacks with the goal of removing sensitive data or disrupting operations. Attack detection technology works very well for the detection of known attacks using a signature-based intrusion detection system. However, attackers can utilize attacks that are undetectable to those signature-based systems whether they are truly new attacks or modified versions of known attacks. Anomaly-based intrusion detection systems approach the problem of at

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12

Das, Tanmoy. "Exploiting Hidden Resources to Design Collision-Embracing Protocols for Emerging Wireless Networks." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1565807656641553.

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13

Vallina-Rodriguez, Narseo. "The hidden costs of mobile applications : a cross-layer analysis of energy and spectrum waste of mobile applications." Thesis, University of Cambridge, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.648525.

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14

Jabba, Molinares Daladier. "A data link layer in support of swarming of autonomous underwater vehicles." [Tampa, Fla] : University of South Florida, 2009. http://purl.fcla.edu/usf/dc/et/SFE0003261.

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15

Yu, Junyi. "A Layered Two-Step Hidden Markov Model Positioning Method for Underground Mine Environment Based on Wi-Fi Signals." Thesis, Mittuniversitetet, Avdelningen för informations- och kommunikationssystem, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-26328.

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The safety of miners is of interest to all countries. In the event of a coal mine disaster, how to locate the miners remains the biggest and most urgent issue. The aim of this study is to propose a precise positioning method for underground mine environments to a low cost and with acceptable accuracy. During the research work, in-depth learning and analysis of current geolocation methods for indoor areas have been carried out: advantages, disadvantages and the level of suitability of each method for mine environment have been presented. A layered two-step Hidden Markov Model has been proposed

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16

Fábry, Marko. "Zobrazení a analýza aktivit neuronové sítě ve skrytých vrstvách." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2016. http://www.nusl.cz/ntk/nusl-255399.

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Goal of this work was to create system capable of visualisation of activation function values, which were produced by neurons placed in hidden layers of neural networks used for speech recognition. In this work are also described experiments comparing methods for visualisation, visualisations of neural networks with different architectures and neural networks trained with different types of input data. Visualisation system implemented in this work is based on previous work of Mr. Khe Chai Sim and extended with new methods of data normalization. Kaldi toolkit was used for neural network trainin

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17

Medvedieva, S. O., I. V. Bogach, V. A. Kovenko, С. О. Медведєва, І. В. Богач, and В. А. Ковенко. "Neural networks in Machine learning." Thesis, ВНТУ, 2019. http://ir.lib.vntu.edu.ua//handle/123456789/24788.

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В статті розглянуті основи роботи з нейронними мережами, особливу увагу приділено моделі мережі під назвою «перцептрон», запровадженої Френком Розенблаттом. До того ж було розкрито тему найпоширеніших мов програмування, що дозволяють втілити нейронні мережі у життя, шляхом створення програмного забезпечення, пов`язаного з ними.<br>The paper covers the basic principles of Neural Networks’ work. Special attention is paid to Frank Rosenblatt’s model of the network called “perceptron”. In addition, the article touches upon the main programming languages used to write software for Neural Networks

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18

Runsewe, Olubisi A. "A Novel Cloud Broker-based Resource Elasticity Management and Pricing for Big Data Streaming Applications." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39251.

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The pervasive availability of streaming data from various sources is driving todays’ enterprises to acquire low-latency big data streaming applications (BDSAs) for extracting useful information. In parallel, recent advances in technology have made it easier to collect, process and store these data streams in the cloud. For most enterprises, gaining insights from big data is immensely important for maintaining competitive advantage. However, majority of enterprises have diﬃculty managing the multitude of BDSAs and the complex issues cloud technologies present, giving rise to the incorporation o

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19

Nečinová, Lucie. "Dům s pečovatelskou službou." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2013. http://www.nusl.cz/ntk/nusl-225873.

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It handles about a „Retirement home“ named project (3 floors, with a partial basement, building on a slight slope). The base structure is of reinforced concrete strips. The walls of the basement are made with the application of hidden formwork type system BEST. The bearing and non-bearing walls are of majority used silicate bricks. The staircase structure consists of monolithic reinforced concrete 2x brokem slab. For ceilings slab panels, are used Spiroll. The building is finished with a single layered flat roof.

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20

Pezzotti, Simone. "DFT-MD simulations and theoretical SFG spectroscopy to characterize H-Bonded networks at aqueous interfaces : from hydrophobic to hydrophilic environments Structural definition of the BIL and DL: a new universal methodology to rationalize non-linear χ(2)(ω) SFG signals at charged interfaces, including χ(3)(ω) contributions What the Diffuse Layer (DL) Reveals in Non-Linear SFG Spectroscopy 2D H-Bond Network as the Topmost Skin to the Air-Water Interface Combining ab-initio and classical molecular dynamics simulations to unravel the structure of the 2D-HB-network at the air-water interface 2D-HB-Network at the air-water interface: A structural and dynamical characterization by means of ab initio and classical molecular dynamics simulations Spectroscopic BIL-SFG Invariance Hides the Chaotropic Effect of Protons at the Air-Water Interface Molecular hydrophobicity at a macroscopically hydrophilic surface Graph theory for automatic structural recognition in molecular dynamics simulations DFT-MD of the (110)-Co3O4 cobalt oxide semiconductor in contact with liquid water, preliminary chemical and physical insights into the electrochemical environment". Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLE008.

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Améliorer notre connaissance de la structure de l'eau dans l'environnement spécial offert par une interface est essentiel pour la compréhension de nombreux phénomènes naturels et applications technologiques. Pour révéler cette structure interfaciale de l'eau, des techniques capables de fournir des informations microscopiques, de manière sélective, pour cette couche interfaciale (BIL) sont nécessaires. Dans le présent travail de thèse, nous avons donc étudié les interfaces aqueuses au niveau moléculaire, en couplant la modélisation théorique à partir de simulations DFT-MD avec les spectroscopie

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21

Lee, Wee Sun. "Agnostic learning and single hidden layer neural networks." Phd thesis, 1996. http://hdl.handle.net/1885/139571.

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22

Wu, Zhao-Xiang, and 吳兆祥. "Exploration of inclined hidden layer using electrical prospecting method." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/42519335566991247762.

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碩士<br>國立中興大學<br>土木工程研究所<br>83<br>Electrical prospecting method is a technique using the difference of the apparent resistivity of the subsurface layers to study the shapes of the individual layers.By using this method ,we can make up for the waste On constructing the water transporting pipe of Wusanto dam ,serious damage occorred when a hidden inclined sand layer was encountered.This research tried to understand the site of local incline hidden layer.

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23

Chen, Joge, and 陳昭志. "Exploration of Inclined Hidden Layer Using Seismic Refraction Method." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/86238566752192977260.

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24

McCarthy, Curtis. "An Investigation on Detecting Applications Hidden in SSL Streams using Machine Learning Techniques." 2010. http://hdl.handle.net/10222/13055.

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The importance of knowing what type of traffic is flowing through a network is paramount to its success. Traffic shaping, Quality of Service, identifying critical business applications, Intrusion Detection Systems, as well as network administra- tion activities all require the base knowledge of what traffic is flowing over a network before any further steps can be taken. With SSL traffic on the rise due to applica- tions securing or concealing their traffic, the ability to determine what applications are running within a network is getting more and more difficult. Traditional methods of traffi

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25

DWIVEDI, MAYANK. "DYNAMIC GROWTH OF HIDDEN-LAYER NEURONS USING THE NON-EXTENSIVE ENTROPY." Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15617.

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The dynamic growth of hidden units and the pruning strategy has been sufficiently investigated in case of Radial Basis Function (RBF) neural network but relatively less in the case of feedforward multilayer perceptron (MLP) due to similarity in the hidden units in the MLP. So in this study I present a dynamic neural network that dynamically grows the number of hidden layer neurons based on an increase in the entropy of the weights during training. Before computing the entropy value weights are normalized to probability values. The entropy which is used being referred is the non-extensive

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26

Wang, Wei-Yi, and 王瑋逸. "Deep Learning Assisted Low Density Parity Check Decoder with Hybrid Hidden Layer Architecture." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/us596n.

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碩士<br>國立清華大學<br>電機工程學系<br>107<br>In this thesis, we propose a novel belief propagation for decoding the low density parity check code (LDPC) with the assistance of deep learning method. With long enough girth, the belief propagation (BP) has been shown with the powerful ability to reduce the complexity of decoding the LDPC, and yields nice error correction performance which is close to the maximum likelihood (ML) method. However, the equal weights on the Tanner graph is faced by ”double counting effect”. The messages passed on the edge have different reliability due to the structure of the par

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27

Huang, Jyun-Jhang, and 黃俊彰. "Semantic Event Detection in Baseball Videos Based on a Two-layer Hidden Markov Model." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/25709687614592630464.

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碩士<br>雲林科技大學<br>資訊工程研究所<br>98<br>In this paper, we proposed an event detection method in baseball videos based on a two-layer HMM (hidden Markov model), using high-level audio/video features. For the video part, we use eight kinds of semantic scenes detected from baseball videos in our previous work. For the audio part, we extract the audio shots from corresponding video scenes, and cut an audio shot into N one-second clips. Then, the MFCC and ZCR of a one-second clip are extracted and fed into the SVM for classifying it as “acclaim” and “silence”. Based on the classification results, the type

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28

Jheng, Yu-Jie, and 鄭玉婕. "The Single-hidden Layer Feedforward Neural Networks with Multiple Output Nodes for Futures Forecast." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/earh48.

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碩士<br>國立政治大學<br>資訊管理學系<br>107<br>Tsaih, Hsu and Lai (1998) proposed a hybrid artificial intelligence (AI) method that integrates rule-based system techniques and artificial neural network (ANN) techniques to predict the direction of future S&P 500 index futures price changes. They claim that hybrid approaches can facilitate the development of more reliable intelligent systems to simulate expert thinking and support decision-making processes. 　　This study differs from Tsaih, Hsu & Lai (1998) in two ways. First, the study has two additional state variables for the research purpose. Secondly, we

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Fan-Jiang, Shu-Jhen, and 范姜淑貞. "Applications of Data Embedding on Scalable Video Coding: Cross-Layer Error Resilient Mechanism & Hidden Multi-View Video." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/59684765351594622073.

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碩士<br>國立東華大學<br>資訊工程學系<br>97<br>SVC provides temporal, spatial, SNR/quality/fidelity scalabilities, and a combined scalability that is a combination of the previous three modalities. Due to the inter-layer prediction in SVC, error propagation not only appears in the following frames but also the frames of different layers when errors occurring in the lower layers. For this reason, it is an essential problem for recovering the base layer and reducing the distortion of inter-layer prediction. This paper proposed a cross-layer error resilient mechanism by using a reversible data embedding techniq

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