Applications and Science of Artificial Neural Networks, Volume 1, Parts 1-2SPIE, 1995 - Neural networks (Computer science) Volumes consist of the proceedings of the International Conference on Applications and Science of Artificial Neural Networks. |
Contents
Analog VLSI signal fuzzifier 249204 | 23 |
Neuralnetworkbased data analysis for chemical sensor arrays 249205 | 33 |
Signal processing and neural network simulator 249206 | 42 |
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Common terms and phrases
activation adaptive AFM system analog analysis applications approach ART1 artificial neural networks backpropagation Boltzmann machine buffer circuit classifier cluster components connection convergence data set database decision boundary defined discrimination dynamic Elman network encoded equations error rate example FALVQ feature fingerprint function genetic algorithms hidden layer IEEE illusory implemented initial input pattern input vector Invited Paper iterations joint learning algorithm learning rate linear MAOM mapping matrix method modules network architecture neurons NNDB node non-winning prototypes nonlinear operation optimization output parallel parameters path loss pattern recognition performance pixels presented problem processing psychon recurrent networks recurrent neural networks represent robot sample selected sensor sequence shown in Figure sigmoid function signal simulation solution speed structure supervised learning target techniques temporal torques training set trajectory trial units update values visual VLSI VMEbus weights winning prototype