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Table of Contents
Intro; Preface; Contents; 1 Introduction; References; 2 Theory and Background; 2.1 Artificial Neural Networks; 2.2 History of Artificial Neural Networks; 2.3 Neural Networks Architecture; 2.3.1 Input Function; 2.3.2 Activation Function; 2.3.3 Output Function; 2.3.4 Learning; 2.4 Supervised Learning Neural Networks; 2.4.1 Perceptron; 2.4.2 Multilayer Perceptron; 2.4.3 MLPs Backpropagation Algorithm; 2.5 Unsupervised Learning Neural Networks; 2.5.1 Competitive Learning; 2.5.2 Learning Vector Quantization; 2.6 Modular Neural Networks; 2.6.1 Characteristics of Modular Neural Networks.
2.7 Fuzzy Inference Systems2.7.1 Fuzzy Sets; 2.7.2 Membership Functions; 2.7.3 Fuzzy If-Then Rules; 2.7.4 Components of a Fuzzy Inference System; 2.8 Interval Type-2 Fuzzy Inference Systems; References; 3 Problem Statement; 3.1 Datasets; 3.1.1 Arrhythmia Dataset; 3.1.2 Satellite Images Dataset; References; 4 Proposed Classification Method; 4.1 Fuzz LVQ; 4.2 Model Architectures; 4.2.1 Data Similarity Process; 4.2.2 Model Architectures for the Arrhythmia Dataset; 4.2.3 Model Architectures for the Satellite Images Dataset; References; 5 Simulation Results.
5.1 Arrhythmia Dataset Methods Description5.1.1 Arrhythmia Dataset Simulation Results; 5.1.2 Arrhythmia Dataset Statistical Analysis; 5.2 Satellite Images Dataset Methods Description; 5.2.1 Satellite Images Dataset Simulation Results; 5.2.2 Satellite Images Dataset Statistical Analysis; Reference; 6 Conclusions; 6.1 Future Work; Reference; Appendix; A.1 Main LVQ Neural Network Architecture for Arrhythmia Classification (5 Modules); A.2 Main LVQ Neural Network Architecture for Satellite Images Classification; A.3 Integration Unit; A.4 Main Type-1 Fuzzy System; A.5. Main Type-2 Fuzzy System.
2.7 Fuzzy Inference Systems2.7.1 Fuzzy Sets; 2.7.2 Membership Functions; 2.7.3 Fuzzy If-Then Rules; 2.7.4 Components of a Fuzzy Inference System; 2.8 Interval Type-2 Fuzzy Inference Systems; References; 3 Problem Statement; 3.1 Datasets; 3.1.1 Arrhythmia Dataset; 3.1.2 Satellite Images Dataset; References; 4 Proposed Classification Method; 4.1 Fuzz LVQ; 4.2 Model Architectures; 4.2.1 Data Similarity Process; 4.2.2 Model Architectures for the Arrhythmia Dataset; 4.2.3 Model Architectures for the Satellite Images Dataset; References; 5 Simulation Results.
5.1 Arrhythmia Dataset Methods Description5.1.1 Arrhythmia Dataset Simulation Results; 5.1.2 Arrhythmia Dataset Statistical Analysis; 5.2 Satellite Images Dataset Methods Description; 5.2.1 Satellite Images Dataset Simulation Results; 5.2.2 Satellite Images Dataset Statistical Analysis; Reference; 6 Conclusions; 6.1 Future Work; Reference; Appendix; A.1 Main LVQ Neural Network Architecture for Arrhythmia Classification (5 Modules); A.2 Main LVQ Neural Network Architecture for Satellite Images Classification; A.3 Integration Unit; A.4 Main Type-1 Fuzzy System; A.5. Main Type-2 Fuzzy System.