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Quadratic function neural networks.

by Leung Chi Sing. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1991. / Bibliography: leaves 84-87. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Definition of Neural Networks --- p.3 / Chapter 1.2 --- Processing Elements ( Neurons ) and Activation Functions --- p.4 / Chapter 1.3 --- Topology --- p.7 / Chapter 1.4 --- Cross-count --- p.9 / Chapter 1.5 --- Learning Rules --- p.10 / Chapter 1.6 --- Categories of Neural Networks --- p.11 / Chapter 2 --- Rotation Transformations --- p.13 / Chapter 2.1 --- 2-Dimensional Rotations --- p.13 / Chapter 2.2 --- High Dimensional Rotations --- p.15 / Chapter 2.3 --- Hardware Implementation --- p.17 / Chapter 2.3.1 --- 2-Dimensional Rotation Block (2DRB) --- p.18 / Chapter 2.3.2 --- High Dimensional Rotation Block --- p.20 / Chapter 3 --- Rotation Qaudratic Function Neural Network (RQFN) --- p.24 / Chapter 3.1 --- Classical Quadratic Function Neurons (QFN) --- p.25 / Chapter 3.2 --- Rotation Quadratic Function Neural Network --- p.27 / Chapter 3.3 --- Learning Rule --- p.33 / Chapter 3.4 --- Comparison between RQFN and QFN --- p.39 / Chapter 3.4.1 --- Delay --- p.39 / Chapter 3.4.2 --- Fan-in --- p.39 / Chapter 3.4.3 --- Geometric interpretation --- p.40 / Chapter 3.4.4 --- Complexity --- p.40 / Chapter 3.5 --- Simulations --- p.42 / Chapter 3.5.1 --- XOR Test --- p.42 / Chapter 3.5.2 --- Simple Two-dimensional Test --- p.47 / Chapter 3.5.3 --- Three-dimensional Test --- p.50 / Chapter 3.5.4 --- Separated learning Test --- p.52 / Chapter 4 --- Enhanced RQFN --- p.56 / Chapter 4.1 --- Many-Class RQFN (MCRQFN) --- p.56 / Chapter 4.1.1 --- Topology of MCRQFN --- p.57 / Chapter 4.1.2 --- Learning Algorithm of MCRQFN --- p.57 / Chapter 4.2 --- Application Experiment --- p.59 / Chapter 4.2.1 --- Introduction --- p.59 / Chapter 4.2.2 --- Feature Extraction --- p.60 / Chapter 4.2.3 --- Configuration --- p.62 / Chapter 4.2.4 --- Experiment Results --- p.63 / Chapter 4.3 --- Generalized MCRQFN (GMCRQFN) --- p.66 / Chapter 4.3.1 --- Topology of GMCRQFN --- p.66 / Chapter 4.3.2 --- Learning Algorithm of GMCRQFN --- p.67 / Chapter 4.3.3 --- Simulations --- p.69 / Chapter 5 --- Conclusion --- p.82 / Bibliography --- p.87

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_318728
Date January 1991
ContributorsLeung, Chi Sing., Chinese University of Hong Kong Graduate School. Division of Information Engineering.
PublisherChinese University of Hong Kong
Source SetsThe Chinese University of Hong Kong
LanguageEnglish
Detected LanguageEnglish
TypeText, bibliography
Formatprint, vi, 87 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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