IJCNN'93 - Nagoya: Proceedings of 1993 International Joint Conference on Neural Networks, Nagoya Congress Center, October 25-29, 1993, Japan, Volume 2 |
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activation annealing applied approximation architecture Artificial Neural Networks back-propagation binary brain cells classifiers coefficient columns Computer connection constraint convergence corresponding cortex cortical defined dynamics energy function equation error estimation example excitatory extracted feedforward Figure fuzzy graph Hamming distance hidden layer hidden units hippocampus Hopfield network implemented initial input pattern iteration Japan learning algorithm linear local minima mapping matrix memory method minimization modules neocortex netel neural net neurons node noise nonlinear number of hidden object obtained optimization problems oscillations output layer paper parallel parameters pattern recognition perceptron performance pixels points proposed random receptive field represent representation retina robot saccade sample sense group sensory shown shows sigmoid sigmoid function signal simulated annealing simulation solution solve space stimulus structure supervised learning synaptic synchronization temporal threshold tion traveling salesman problem update vector visual weights