Frederic M. Ham

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<lb>Biological vision provides an excellent<lb>promise in the design of automatic target<lb>recognition (ATR) system. Reinforcement<lb>learning (RL) is part of procedural learn-<lb>ing that is routinely employed in biological<lb>vision. The RL in biology appears to be cru-<lb>cial for attentive decision making process<lb>in stochastic dynamic environment.(More)
An algorithm to train feedforward multilayer perceptrons is presented. This algorithm trains the perceptron in fewer pattern presentations than standard backpropagation. A parallel processing scheme renders it computationally efficient. The algorithm uses the error backpropagated from the output layer to each node in the network to formulate a normal(More)
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