1993 IEEE International Conference on Neural Networks, San Francisco, California, March 28-April 1, 1993, Volume 2 |
Contents
San Francisco Hilton Hotel San Francisco California | 609 |
00 AM1230 | 610 |
Parallel implementation of time delay neural networks for phoneme recognitionD M Weber | 611 |
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activity adaptive alarm application approximation architecture artificial neural networks associative memory backpropagation cells circuit classification complex Computer connections convergence corresponding cortex defined distribution dynamic equation example fault tolerance feedforward Figure fuzzy logic fuzzy system GenLearn given global gradient descent hidden layer hidden neurons hidden units Hopfield Hopfield network IEEE implementation initial input patterns input vector iterations k-means k-means algorithm Kohonen learning algorithm learning rate learning rule linear local minimum mapping matrix method minimize minimum module neural net node nonlinear object obtained optimal parameters performance pixel problem Proc proposed prototypes Quantization receptive field recognition recurrent neural networks reference vectors represent representation robot selection sensory shows sigmoid function signals simulation solve stable structure supervised learning switch synaptic target techniques threshold tion training set update variable visual visual cortex weights zero