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Applications of neural networks in the binary classification problem.

by Chan Pak Kei, Bernard. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 125-127). / Chapter 1 --- Introduction --- p.10 / Chapter 1.1 --- Overview --- p.10 / Chapter 1.2 --- Classification Approaches --- p.11 / Chapter 1.3 --- The Use of Neural Network --- p.12 / Chapter 1.4 --- Motivations --- p.14 / Chapter 1.5 --- Organization of Thesis --- p.16 / Chapter 2 --- Related Work --- p.19 / Chapter 2.1 --- Overview --- p.19 / Chapter 2.2 --- Neural Network --- p.20 / Chapter 2.2.1 --- Backpropagation Feedforward Neural Network --- p.20 / Chapter 2.2.2 --- Training of a Backpropagation Feedforward Neural Network --- p.22 / Chapter 2.2.3 --- Single Hidden-layer Model --- p.27 / Chapter 2.2.4 --- Data Preprocessing --- p.27 / Chapter 2.3 --- Fuzzy Sets --- p.29 / Chapter 2.3.1 --- Fuzzy Linear Regression Analysis --- p.29 / Chapter 2.4 --- Network Architecture Altering Algorithms --- p.31 / Chapter 2.4.1 --- Pruning Algorithms --- p.32 / Chapter 2.4.2 --- Constructive/Growing Algorithms --- p.35 / Chapter 2.5 --- Summary --- p.38 / Chapter 3 --- Hybrid Classification Systems --- p.39 / Chapter 3.1 --- Overview --- p.39 / Chapter 3.2 --- Literature Review --- p.41 / Chapter 3.2.1 --- Fuzzy Linear Regression(FLR) with Fuzzy Interval Analysis --- p.41 / Chapter 3.3 --- Data Sample and Methodology --- p.44 / Chapter 3.4 --- Hybrid Model --- p.46 / Chapter 3.4.1 --- Construction of Model --- p.46 / Chapter 3.5 --- Experimental Results --- p.50 / Chapter 3.5.1 --- Experimental Results on Breast Cancer Database --- p.50 / Chapter 3.5.2 --- Experimental Results on Synthetic Data --- p.53 / Chapter 3.6 --- Conclusion --- p.55 / Chapter 4 --- Searching for Suitable Network Size Automatically --- p.59 / Chapter 4.1 --- Overview --- p.59 / Chapter 4.2 --- Literature Review --- p.61 / Chapter 4.2.1 --- Pruning Algorithm --- p.61 / Chapter 4.2.2 --- Constructive Algorithms (Growing) --- p.66 / Chapter 4.2.3 --- Integration of methods --- p.67 / Chapter 4.3 --- Methodology and Approaches --- p.68 / Chapter 4.3.1 --- Growing --- p.68 / Chapter 4.3.2 --- Combinations of Growing and Pruning --- p.69 / Chapter 4.4 --- Experimental Results --- p.75 / Chapter 4.4.1 --- Breast-Cancer Cytology Database --- p.76 / Chapter 4.4.2 --- Tic-Tac-Toe Database --- p.82 / Chapter 4.5 --- Conclusion --- p.89 / Chapter 5 --- Conclusion --- p.91 / Chapter 5.1 --- Recall of Thesis Objectives --- p.91 / Chapter 5.2 --- Summary of Achievements --- p.92 / Chapter 5.2.1 --- Data Preprocessing --- p.92 / Chapter 5.2.2 --- Network Size --- p.93 / Chapter 5.3 --- Future Works --- p.94 / Chapter A --- Experimental Results of Ch3 --- p.95 / Chapter B --- Experimental Results of Ch4 --- p.112 / Bibliography --- p.125

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_321993
Date January 1997
ContributorsChan, Pak Kei Bernard., Chinese University of Hong Kong Graduate School. Division of Systems Engineering and Engineering Management.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish
Detected LanguageEnglish
TypeText, bibliography
Formatprint, 127 leaves : ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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