Optimal Convergence Rate in Feed Forward Neural Networks using HJB Equation

27 Apr 2015Vipul AroraLaxmidhar BeheraAjay Pratap Yadav

A control theoretic approach is presented in this paper for both batch and instantaneous updates of weights in feed-forward neural networks. The popular Hamilton-Jacobi-Bellman (HJB) equation has been used to generate an optimal weight update law... (read more)

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