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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..............................................................................24 5..........................................................................................51 ...................................2 Analysis using filter banks ......... THE REALIZATION THE PROGRAM..................................4........................................................................................................................................15 4............................1 Real brains........................................4 Artificial neural networks .....2 Running the algorithm ...................................................32 8.............................................................................40 8........................................................30 7......................22 5..........................................50 LIST INSERTS ....................... THE SIMULATION ........1 The basic Artificial Neuron.................................29 6.....................1 2....1 Signal preparation ...............................1 Learning algorithm ANFIS ..................................................................1 Forward pass..........................9 3......................................................................TABLE CONTENTS LIST FIGURES LIST TABLES 1.........................................3 Learning .......................48 LIST SYMBOLS, ABBREVIATIONS AND VARIABLES ..................1 Network parameters .................1..................40 8.............1.....28 6............................................................................................................................................. NEURAL NETWORKS.....2 Simulation results ...............................17 5.................... ADAPTIVE NEURO FUZZY INFERENCE SYSTEM.........................................................................6 3...26 6.......2.......................................................................................................................................................3 Stop the training .........1..............................................37 8.......2 2......1 Fuzzy Neural Networks ...................................................................................................................14 3.................1.......17 4..........12 3.............9 3......................43 8................................................................................29 6...........................2 Backward pass ........43 9............................................................. INTRODUCTION .............................................................2 2...................40 8................................................................2 Operation neurons...............2.4 2...........1.................1 The 'NNV' network....................................................................................................................1...... THE SPEECH SIGNAL .....................................1..................................................................................................................................... CONCLUSION..............................................................................................................................................................................................22 5..............................1 Description the backpropagation algorithm............................43 8..........................................46 REFERENCES .....5 2.........2 The ANFIS network...............1 Network parameters ................................1 The algorithm ..............................................................................2 Running the simulation ..............................................................................................................................................................................1 Division into frames and preprocessing ................................5 2........................................................... BACKPROPAGATION ALGORITHM . FUZZY SYSTEMS ..............

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