Klasifikace vzorů pomocí fuzzy neuronových sítí

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Práce popisuje základy principu funkčnosti neuronů a vytvoření umělých neuronových sítí. Je zde důkladně popsána struktura a funkce neuronů a ukázán nejpoužívanější algoritmus pro učení neuronů. Základy fuzzy logiky, včetně jejich výhod a nevýhod, jsou rovněž prezentovány. Detailněji je popsán algoritmus zpětného šíření chyb a adaptivní neuro-fuzzy inferenční systém. Tyto techniky poskytují efektivní způsoby učení neuronových sítí.

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.....................................................................................................1 Network parameters .................................................................................................................................32 8...............................................2 2.....................................................29 6.....................................................................12 3.........................37 8.............................1 The 'NNV' network..............5 2....5 2................................................... THE REALIZATION THE PROGRAM..............2 Running the simulation ........................................43 9......2 Backward pass .....................................................1 Fuzzy Neural Networks ....2 Running the algorithm ...........................................1 2...............43 8......................................................................24 5.................................1 Forward pass..................................................40 8............................................17 5.................................................................1..................2.......................................3 Learning ............22 5..........................................................................................................................15 4.............................1.TABLE CONTENTS LIST FIGURES LIST TABLES 1.................................................... ADAPTIVE NEURO FUZZY INFERENCE SYSTEM..........................................40 8.......26 6........................ THE SPEECH SIGNAL ....48 LIST SYMBOLS, ABBREVIATIONS AND VARIABLES ...........................................40 8..................................................................2 Analysis using filter banks ..................................................................1 Description the backpropagation algorithm..............4....................2 Operation neurons.................................................................................................................................................................... NEURAL NETWORKS............2 2..........................................................................30 7.........................................................................................................................1 Network parameters ......................51 ..................................43 8............2...........17 4......................................................1...........9 3....................................................................... FUZZY SYSTEMS ..........................................................................1 Learning algorithm ANFIS ...................................................................50 LIST INSERTS ..................................................4 Artificial neural networks ..................................................................4 2..........................1..........14 3...............1. THE SIMULATION .....................9 3....................................................6 3.......................................2 Simulation results .............1 The basic Artificial Neuron....................3 Stop the training ....................................... INTRODUCTION ................1...28 6.. CONCLUSION......................................................................1 Real brains.........................................................1 Signal preparation ................................................1 The algorithm ...1..........................................................................29 6...............................................46 REFERENCES ..2 The ANFIS network............................................................................................................................22 5...................................................................1 Division into frames and preprocessing .. BACKPROPAGATION ALGORITHM ........................................................

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