By Tsu-Chang Lee

Sixty three three. 2 functionality point version sixty four three. three Parameter point edition. sixty seven three. four constitution point version 70 three. four. 1 Neuron new release . 70 three. four. 2 Neuron Annihilation seventy two three. five Implementation . . . . . seventy four three. 6 An Illustrative instance seventy seven three. 7 precis . . . . . . . . seventy nine four aggressive sign Clustering Networks ninety three four. 1 advent. . ninety three four. 2 simple constitution ninety four four. three functionality point edition ninety six four. four Parameter point model . one hundred and one four. five constitution point edition 104 four. five. 1 Neuron new release technique 107 four. five. 2 Neuron Annihilation and Coalition method 114 four. five. three Structural Relation Adjustment. 116 four. 6 Implementation . . 119 four. 7 Simulation effects 122 four. eight precis . . . . . 134 five software instance: An Adaptive Neural community resource Coder one hundred thirty five five. 1 advent. . . . . . . . . . one hundred thirty five five. 2 Vector Quantization challenge 136 five. three VQ utilizing Neural community Paradigms 139 Vlll five. three. 1 uncomplicated houses . one hundred forty five. three. 2 quickly Codebook seek strategy 141 five. three. three direction Coding approach. . . . . . . 143 five. three. four functionality comparability . . . . one hundred forty four five. three. five Adaptive SPAN Coder/Decoder 147 five. four precis . . . . . . . . . . . . . . . . . 152 6 Conclusions one hundred fifty five 6. 1 Contributions a hundred and fifty five 6. 2 suggestions 157 A Mathematical history 159 A. 1 Kolmogorov's Theorem . one hundred sixty A. 2 Networks with One Hidden Layer are adequate 161 B Fluctuated Distortion degree 163 B. 1 degree development . 163 B. 2 The Relation among Fluctuation and mistake 166 C SPAN Convergence concept 171 C. 1 Asymptotic price of Wi 172 C. 2 power functionality . .