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Learning algorithms for neural networks with fuzzy information.

by Lee Tan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1990. / Bibliography: leaves [128]-[130] / Chapter CHAPTER 1 --- INTRODUCTION --- p.1-1 / Chapter 1.1 --- Introduction to Artificial Neural Networks --- p.1-4 / Chapter 1.1.1 --- Fundamentals of Artificial Neural Networks --- p.1-5 / Chapter 1.1.2 --- Various Artificial Neural Network Models ´ؤA Review --- p.1-11 / Chapter 1.2 --- Introduction to Fuzzy Sets Theory --- p.1-17 / Chapter 1.2.1 --- "Fuzziness, Fuzzy sets and Membership Function" --- p.1-17 / Chapter 1.2.2 --- Applications of Fuzzy Sets --- p.1-19 / Connective Summary --- p.1-21 / Chapter CHAPTER 2 --- LEARNING WITH FUZZY INFORMATION --- p.2-1 / Chapter 2.1 --- "Decision Making, Pattern Associating and Pattern Classification" --- p.2-3 / Chapter 2.2 --- Artificial Neural Networks as Learning Decision Systems --- p.2-6 / Chapter 2.3 --- Fuzziness in Decision Making Processes --- p.2-10 / Chapter 2.4 --- Learning with Fuzzy Information --- p.2-12 / Chapter 2.5 --- The Formulation of Our Approach --- p.2-16 / Connective Summary --- p.2-18 / Chapter CHAPTER 3 --- A MODIFIED BACKPROPAGATION ALGORITHM FOR MULTILAYER FEEDFORWARD NETWORKS --- p.3-1 / Chapter 3.1 --- Preliminaries --- p.3-3 / Chapter 3.2 --- The Error Backpropagation Algorithm (EBPA) --- p.3-8 / Chapter 3.3 --- A Modified EBPA Learning with A Priori Fuzzy Information --- p.3-11 / Chapter 3.3.1 --- The Membership-Weighed Objective Function --- p.3-11 / Chapter 3.3.2 --- The Fuzzy Error Backpropagation Algorithm --- p.3-13 / Chapter 3.4 --- Discussion on the Proposed Fuzzy EBPA --- p.3-15 / Chapter 3.4.1 --- Methods of Determining Membership Functions --- p.3-15 / Chapter 3.4.2 --- Fuzzy EBPA Alters the Effective Target Patterns --- p.3-19 / Chapter 3.4.3 --- Estimating the Learning Rates Required for the Fuzzy EBPA --- p.3-21 / Connective Summary --- p.3-24 / Chapter CHAPTER 4 --- APPLICATION EXAMPLES --- p.4-1 / Chapter 4.1 --- A Single Node Classifier --- p.4-2 / Chapter 4.2 --- The Fuzzy XOR Problem --- p.4-29 / Chapter 4.2.1 --- Network Configuration 1 --- p.4-36 / Chapter 4.2.2 --- Network Configuration 2 --- p.4-46 / Chapter 4.2.3 --- Comments on the Simulation Results --- p.4-50 / Chapter 4.3 --- A Speech Recognition System --- p.4-54 / Connective Summary --- p.4-59 / Chapter CHAPTER 5 --- DISCUSSION AND CONCLUSION --- p.5-1

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_318581
Date January 1990
ContributorsLee, Tan., Chinese University of Hong Kong Graduate School. Division of Electronic Engineering.
PublisherChinese University of Hong Kong
Source SetsThe Chinese University of Hong Kong
LanguageEnglish
Detected LanguageEnglish
TypeText, bibliography
Formatprint, [130] 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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