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titleA General Weight Matrix formulation using optimal control
authorsOluseyi Farotimi, Amir Dembo, Thomas Kailath
keywordslearning task, neural network weights, optimal control, performance index, weight matrix formulation
abstractClassical methods from optimal control theory are used in deriving general forms for neural network weights. The network learning or application task is encoded in a performance index of a general structure. Consequently, different instances of this performance index lead to special cases of weight rules, including some well-known forms. Comparisons are made with the outer product rule, spectral methods, and recurrent back-propagation. Simulation results and comparisons are presented.
journalIEEE transactions on neural Networks
published year
(Total records:1429)
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