IJCNN International Joint Conference on Neural Networks, Volumes 1-3IEEE TAB Neural Network Committee, 1991 - Artificial intelligence |
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Common terms and phrases
activation adaptive applications approach approximation architecture ART1 Artificial Neural Networks associative memory back-propagation Boltzmann machine cells circuit classification computation connection weights Connectionist convergence corresponding defined dynamics equation error error function feature feedforward Figure function given global gradient descent hidden layer hidden units Hopfield IEEE implementation initial input layer input pattern inverse Inverse Kinematics iteration JAPAN learning algorithm learning rate linear mapping matrix method minimize multilayer neural net neurocomputer neurons nonlinear number of hidden object obtained optimal output layer paper parallel Parallel Distributed Processing parameters perceptron performance pRAM prediction presented problem Proc processor propagation proposed represent representation robot Rumelhart sample self-organizing sequence shown sigmoid sigmoid function signal simulated annealing Singapore solution speech recognition stable step structure subnetwork supervised learning synaptic technique Theorem threshold topology training patterns training set transputers update values vector