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Institution Date Title Author
國立臺灣科技大學 2019 A Note on Liao’s Recurrent Neural-Network Learning for Discrete Multi-stage Optimal Control Problems Mizutani, E.
國立臺灣科技大學 2016 On a staged successive approximation procedure for approximate dynamic programming solutions to board game playing Mizutani, E.
國立臺灣科技大學 2016 Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains Mizutani, E;Dreyfus, S.
國立臺灣科技大學 2015 On Pantoja's problem allegedly showing a distinction between differential dynamic programming and stagewise Newton methods Mizutani, E.
國立臺灣科技大學 2015 Finding all best ties by a K shortest paths method of Dreyfus in a general digraph for routing control Mizutani, E.
國立臺灣科技大學 2014 A counterexample to a proposed dynamic programming algorithm for optimal bid construction in an auction-based fully distributed manufacturing system Mizutani, E.
國立臺灣科技大學 2014 A note on dynamic programming formulations for scheduling job classes with changeover times on a single machine Mizutani, E.
國立臺灣科技大學 2012 A block-approximate local Hessian-matrix analysis for CANFIS neuro-fuzzy modular network learning Mizutani, E.
國立臺灣科技大學 2009 Stage-lookahead dynamic programming algorithms for stochastic problems with time-lagged control dynamics Mizutani E.; Dreyfus S.
國立臺灣科技大學 2008 Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature Mizutani, E.;Dreyfus, S.E.
國立臺灣科技大學 2007 On exploiting symmetry for multilayer perceptron learning Mizutani E.; Fan J.-Y.C.
國立臺灣科技大學 2007 On practical use of stagewise second-order backpropagation for multi-stage neural-network learning Mizutani E.; Dreyfus S.
國立清華大學 2000 Evolving color recipes Mizutani, E.; Takagi, H.; Auslander, D.M.; Jang, J.-S.R.
國立臺灣科技大學 1997 Neuro-Fuzzy and Soft Computing: a computational approach to learning and machine intelligence Jang, J. -S. R. ; Sun, C. -T. ; Mizutani, E.
國立清華大學 1996 Levenberg-Marquardt method for ANFIS learning Jyh-Shing Roger Jang; Mizutani, E.

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