Intelligent Engineering Systems Through Artificial Neural Networks: Proceedings of the Artificial Neural Networks in Engineering (ANNIE ... ) Conference, Volume 1ASME Press, 1991 - Intelligent control systems |
Contents
J Vaario and S Ohsuga | 11 |
Neural Network Algorithms for RETinally INspired | 29 |
New Architectures for the AD Converter Application | 47 |
Copyright | |
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ABSTRACT activation adaptive control analysis application approach approximation architecture artificial neural networks backpropagation behavior binary classification cluster coefficients Computer connections convergence corresponding decision defined detection dynamic Engineering equation error estimated evaluation example exemplars experiments expert system faults feature feedforward fuzzy fuzzy sets hidden layer hidden nodes Hopfield identify IEEE implementation initial input layer input pattern iterations Kohonen learning algorithm learning rate linear mapping matrix measure membership functions memory method neural net neuron noise nonlinear object obtained operation optimal output layer output nodes paper Parallel Distributed Processing parameters pattern recognition performance pixel prediction presented problem propagation random representation represented rules Rumelhart samples selected sensor shown in Figure sigmoid function signal simulated annealing simulation solution structure synloc systolic array target techniques threshold tool training data training set units unsupervised learning values variables weights welding zero