DARPA Neural Network Study Final ReportThe Laboratory, 1989 - Artificial intelligence |
Contents
ISSUES IN NEURAL NETWORK RESEARCH | 3 |
OVERVIEW OF THE STUDYS FINDINGS AND CONCLUSIONS | 13 |
APPENDIX A LIST OF PRESENTATIONS | 53 |
18 other sections not shown
Common terms and phrases
adaptive algorithm analog architecture artificial intelligence associative memory automata backpropagation biological brain capabilities cell cellular automata chip classifier CMAC complex connections conventional DARPA database decision regions demonstrated dynamics early vision example feature map feedforward Figure filter function Grossberg hardware Hopfield network human IEEE information processing input patterns interconnects internal layer learning algorithm linear machine vision massively parallel MIT/Lincoln Laboratory modules multi-layer perceptron Neocognitron neural net neural network applications Neural Network Approach neural network models neural network research neural network simulation Neural Network Study neurons nodes nonlinear operations optical optimization output Panel parameters pattern classification performance potential problem processing elements processors realtime recognize representation response retina segmentation self-organization sensor signal processing simulated annealing solution solve sonar speech recognition storage structure supervised supervised learning synapses System Applications target tasks techniques theory traveling salesman problem unsupervised vector visual VLSI waveform weights