Applications of Artificial Neural Networks II: 2-5 April 1991, Orlando, Florida, Part 2 |
Common terms and phrases
4-feature acoustic AE returns analysis application architecture Artificial Neural Networks backpropagation backpropagation neural networks binary calculated centroid Class classifiers cluster complex compressed connections consists convergence correlation data set decoder defined described detection developed digit dynamics edge energy equation error estimation exemplars feature extraction feature vectors filter functions Gaussian gradient Gulf Stream hidden units IEEE image processing imagery implemented initial input pattern input vector Iterative Atrophy leak location learning rate linear Linear Discriminant Analysis mapping matrix measure memory model fitting module multilayer perceptron neocognitron neural net neurons nodes noise nonlinear object optimal parallel pattern recognition peak perceptron performance pixels problem processing elements regression regression analysis representation represented samples segment sensors shown in Figure side-scan sonar signal simulation space spatial statistical structure subnetworks surface target technique template test set texture threshold tool wear training set variables weights window