IEE International Conference on Artificial Neural NetworksThe Institution, 1989 - Neural networks (Computer science) |
Common terms and phrases
activation adaptive algorithm analog analysis application approach architecture artificial neural network back-propagation binary bits capacitor cell centres circuit classification cluster coefficients computation connectionist connections convergence corresponding defined delta rule elements equation error example feed-forward filter generalisation given graphs hardware hidden layer hidden units Hopfield IEEE implementation input data input pattern input vector iterations Kohonen Kohonen network learning algorithm linear mapping matrix memory method multi-layer perceptron n-tuple neural net neuron noise nonlinear number of hidden obtained operation optical flow optimal optimisation output neurons output unit parallel parameters pattern recognition performance problem Proc processing processor propagation pulse quantisation Radial Basis Function represented response rule Rumelhart samples shown in Figure signal simulation SLLUP solution space speech stochastic structure supervised learning synaptic techniques threshold tion training data training set transformation updating variable VLSI voltage weights window