| Document Date: 2013-03-26 14:30:36
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City Glasgow / / Company lications Inc. / BP / BT / / IndustryTerm recursive algorithm / bridge between neural network / e - cxy / layered neur al networks / good learning algorithm / control/systems / sto chastic approximation algorithm / plausible algorithm / neural networks / recursive least-square algorithm / layer ed neural networks / stochastic approximation algorithm / gain backpropagation algorithm / min imum norm solution / e −− / linear network / non linear systems / This algorithm / conventional backpropagation algorithm / ceptron network / learning algorithm / / Organization Gawthrop D. Sbarbaro Department of Mechanical Engineering / ded / / Person Gardner / Albert / / PublishedMedium Complex Systems / / Technology learning algorithm / This algorithm / GBP algorithm / neural network / proposed algorithm / recursive least-square algorithm / GBP algorithms / conventional backpropagation algorithm / The Gain Ba ckpropagation Algorithm / Gain Backpropagation Algorithm / sto chastic approximation algorithm / stochastic approximation algorithm / neural network/PDP algorithms / The algorithm / simulation / physiologically plausible algorithm / good learning algorithm / /
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Stochastic Approximation and Multilayer Perceptrons: The Gain Backpropagation Algorithm