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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......................... THE SPEECH SIGNAL .........................................................1 Signal preparation ........................................................................................................... NEURAL NETWORKS......2...........................................................1 Fuzzy Neural Networks ..................................................2 Backward pass .............51 .............................................................................................................................................................40 8........................................................................................1 Learning algorithm ANFIS ......................................32 8...................................................................12 3.................. INTRODUCTION ..................... THE SIMULATION ..........................................TABLE CONTENTS LIST FIGURES LIST TABLES 1.1 The algorithm ..........................48 LIST SYMBOLS, ABBREVIATIONS AND VARIABLES .......1 Forward pass.......................................................................................................1 Division into frames and preprocessing ................1 Description the backpropagation algorithm.............................3 Learning ......................................................4......................................................................................................................................................................................................2 2........................................1 Real brains..........29 6....................................................................................................1............1.........................43 8.....................................................................28 6................................37 8............................................1......17 5.............................4 2..............................................9 3............................17 4...........................2...4 Artificial neural networks ..............................................1 Network parameters .................43 9..2 Analysis using filter banks ................................................................................................5 2.....................24 5.......................3 Stop the training .....................22 5...22 5..........................................................2 Running the algorithm ...............................2 2.......................40 8..............................1............................................26 6.............................................................................................................. BACKPROPAGATION ALGORITHM ....................................................2 The ANFIS network...........1.................................1 2.... CONCLUSION..........43 8...........................................................................30 7.. ADAPTIVE NEURO FUZZY INFERENCE SYSTEM.......................2 Operation neurons..........................................................................9 3...................................6 3.......2 Simulation results ............46 REFERENCES ................................................................................................2 Running the simulation .................. THE REALIZATION THE PROGRAM........................................................................15 4...........................................................5 2.............................................29 6..................1 The basic Artificial Neuron....................................................................... FUZZY SYSTEMS .............14 3..................................1 Network parameters .............................................................................1......1..........1 The 'NNV' network.............................................................40 8...........50 LIST INSERTS .............................................................

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