Applications and Science of Artificial Neural Networks: 17-21 April 1995, Orlando, Florida, Part 1 |
Contents
Highspeed VMEbusbased analog neurocomputing architecture for image classification Invited | 10 |
Analog VLSI signal fuzzifier 249204 | 23 |
Neuralnetworkbased data analysis for chemical sensor arrays 249205 | 33 |
Copyright | |
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Applications and Science of Artificial Neural Networks: 17-21 April ..., Part 1 Steven K. Rogers,Dennis W. Ruck No preview available - 1995 |
Common terms and phrases
activity Adaptive analysis application approach ART1 artificial neural network assets of type automata backpropagation Backpropagation Neural Network binary Boltzmann machine buffer calculated cell cellular automata channel circuit classification clusters color components configuration connections constraints control structure convergence data set defined desired discrimination dynamics echolocation electronic elements encoded error example eyelet F₂ field FALVQ filtering Fuzzy genetic algorithms heuristic IEEE implemented input pattern input vector iterations learning algorithm linear manipulator MAOM matrix modules neural network based node non-winning prototypes nonlinear operation optical optimization parallel computer parameters path loss performance pigment pions prediction presented problem processing processor propagation PSNR Pspice psychon pulsed neural network Robotics sample selected sensor sequence shown in Figure sigmoid function signal simulated annealing simulation solution speed target techniques torques training set trial unit update voltage weights winning prototype wireless zero