Eiji Mizutani

发表

A Note on Liao’s Recurrent Neural-Network Learning for Discrete Multi-stage Optimal Control Problems

Eiji Mizutani, 2019, Neural Processing Letters.

On exploiting sparsity in CANFIS neuro-fuzzy modular network learning by second-order stagewise backpropagation

Eiji Mizutani, 2011, 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

On-line hidden-node teaching for maintaining rules' interpretability in CANFIS neuro-fuzzy modeling

Eiji Mizutani, Jing-Yun Carey Fan, 2008 .

On dynamic programming-like recursive gradient formula for alleviating MLP hidden-node saturation in

Eiji Mizutani, Stuart E. Dreyfus, S. Dreyfus, 2000 .

Powell's dogleg trust-region steps with the quasi-Newton augmented Hessian for neural nonlinear least-squares learning

Eiji Mizutani, E. Mizutani, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Corrigendum to: "Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature" [Neural Netw. 21(2-3) (2008) 193-203]

Stuart E. Dreyfus, Eiji Mizutani, 2008, Neural Networks.

On derivation of MLP backpropagation from the Kelley-Bryson optimal-control gradient formula and its application

Stuart E. Dreyfus, Eiji Mizutani, Kenichi Nishio, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains

Stuart E. Dreyfus, Eiji Mizutani, S. Dreyfus, 2017, Ann. Oper. Res..

Totally model-free reinforcement learning by actor-critic Elman networks in non-Markovian domains

Eiji Mizutani, Stuart E. Dreyfus, S. Dreyfus, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Space pup project: sperm preservation in space station

Toru Shimizu, Eiji Mizutani, Sachiko Yano, 2014, RA 2014.

Multi-illuminant color reproduction for electronic cameras via CANFIS neuro-fuzzy modular network device characterization

Eiji Mizutani, Kenichi Nishio, 2002, IEEE Trans. Neural Networks.

Evolving color recipes

Jyh-Shing Roger Jang, David M. Auslander, Hideyuki Takagi, 2000, IEEE Trans. Syst. Man Cybern. Part C.

On Iterative Krylov-Dogleg Trust-Region Steps for Solving Neural Networks Nonlinear Least Squares Problems

James Demmel, Eiji Mizutani, E. Mizutani, 2000, NIPS.

On a staged successive approximation procedure for approximate dynamic programming solutions to board game playing

Eiji Mizutani, 2015, 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning

Eiji Mizutani, Stuart Dreyfus, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Simple and efficient method of rat ICSI

Eiji Mizutani, Megumi Kato, Hiromitsu Nakauchi, 2017 .

Two stochastic dynamic programming problems by model-free actor-critic recurrent-network learning in non-Markovian settings

Eiji Mizutani, S.E. Dreyfus, S. Dreyfus, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

A Proof on Equivalence of Stagewise Newton and Dreyfus's Successive Approximation Procedures

Eiji Mizutani, E. Mizutani, 2020, IEEE Transactions on Automatic Control.

Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature

Stuart E. Dreyfus, Eiji Mizutani, S. Dreyfus, 2008, Neural Networks.

Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply

James Demmel, Eiji Mizutani, 2003, NIPS.

On improving trust-region variable projection algorithms for separable nonlinear least squares learning

James Demmel, Eiji Mizutani, E. Mizutani, 2011, The 2011 International Joint Conference on Neural Networks.

An analysis on negative curvature induced by singularity in multi-layer neural-network learning

Eiji Mizutani, Stuart Dreyfus, S. Dreyfus, 2010, NIPS.

Online neuro-fuzzy CANFIS hidden-node teaching

Eiji Mizutani, Jing-Yun Carey Fan, E. Mizutani, 2011, 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011).

Sample path-based policy-only learning by actor neural networks

Eiji Mizutani, E. Mizutani, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

On practical use of stagewise second-order backpropagation for multi-stage neural-network learning

Eiji Mizutani, Stuart Dreyfus, 2007, 2007 International Joint Conference on Neural Networks.

On using discretized Cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains

Stuart E. Dreyfus, Eiji Mizutani, S. Dreyfus, 2003, Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation. Computational Intelligence in Robotics and Automation for the New Millennium (Cat. No.03EX694).

On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning

James Demmel, Eiji Mizutani, 2003, Neural Networks.

On exploiting symmetry for multilayer perceptron learning

Eiji Mizutani, Jing-Yun Carey Fan, E. Mizutani, 2007, 2007 International Joint Conference on Neural Networks.

A block-approximate local Hessian-matrix analysis for CANFIS neuro-fuzzy modular network learning

Eiji Mizutani, E. Mizutani, 2012, 2012 IEEE International Conference on Fuzzy Systems.

On Pantoja's problem allegedly showing a distinction between differential dynamic programming and stagewise Newton methods

Eiji Mizutani, E. Mizutani, 2015, Int. J. Control.

On using dynamic programming for time warping in pattern recognition

Eiji Mizutani, Stuart Dreyfus, S. Dreyfus, 2021, Inf. Sci..

MLP's hidden-node saturations and insensitivity to initial weights in two classification benchmark problems: parity and two-spirals

Eiji Mizutani, S. E. Dreyfus, S. Dreyfus, 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).