Eiji Mizutani

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 10

Top Topics

Dynamic Programming

Top Venues

Neural Process. Lett.

Ann. Oper. Res.

Int. J. Control

Publications

Eiji Mizutani, Naoyuki Kubota, Tam Chi Truong
On Stage-Wise Backpropagation for Improving Cheng's Method for Fully Connected Cascade Networks. Neural Process. Lett. 56 (4) (2024)
Eiji Mizutani, Kevin Alexander Sánchez Galeano
A note on a single-shift days-off scheduling problem with sequence-dependent labor costs. J. Sched. 26 (3) (2023)
Eiji Mizutani, Stuart Dreyfus
A tutorial on the art of dynamic programming for some issues concerning Bellman's principle of optimality. ICT Express 9 (6) (2023)
Eiji Mizutani, Stuart Dreyfus
On using dynamic programming for time warping in pattern recognition. Inf. Sci. 580 (2021)
Eiji Mizutani
A Proof on Equivalence of Stagewise Newton and Dreyfus's Successive Approximation Procedures. IEEE Trans. Autom. Control. 65 (6) (2020)
Eiji Mizutani
A Note on Liao's Recurrent Neural-Network Learning for Discrete Multi-stage Optimal Control Problems. Neural Process. Lett. 50 (3) (2019)
Eiji Mizutani, Brigitte Trista
On Two New Dynamic-Programming Procedures As Efficient As the Wagner-Whitin Regeneration-Point Type in Dynamic Lot Sizing. IEEM (2019)
Eiji Mizutani, Stuart E. Dreyfus
Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains. Ann. Oper. Res. 258 (1) (2017)
Eiji Mizutani
On a staged successive approximation procedure for approximate dynamic programming solutions to board game playing. IEEM (2015)
Eiji Mizutani
On Pantoja's problem allegedly showing a distinction between differential dynamic programming and stagewise Newton methods. Int. J. Control 88 (9) (2015)
Eiji Mizutani
A block-approximate local Hessian-matrix analysis for CANFIS neuro-fuzzy modular network learning. FUZZ-IEEE (2012)
Eiji Mizutani, James Demmel
On improving trust-region variable projection algorithms for separable nonlinear least squares learning. IJCNN (2011)
Eiji Mizutani
On exploiting sparsity in CANFIS neuro-fuzzy modular network learning by second-order stagewise backpropagation. FSKD (2011)
Eiji Mizutani, Jing-Yun Carey Fan
Online neuro-fuzzy CANFIS hidden-node teaching. FUZZ-IEEE (2011)
Eiji Mizutani, Stuart Dreyfus
An analysis on negative curvature induced by singularity in multi-layer neural-network learning. NIPS (2010)
Eiji Mizutani, Stuart E. Dreyfus
Corrigendum to: "Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature" [Neural Netw. 21(2-3) (2008) 193-203] Neural Networks 21 (9) (2008)
Eiji Mizutani, Stuart E. Dreyfus
Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature. Neural Networks 21 (2-3) (2008)
Eiji Mizutani, Jing-Yun Carey Fan
On exploiting symmetry for multilayer perceptron learning. IJCNN (2007)
Eiji Mizutani, Stuart Dreyfus
On practical use of stagewise second-order backpropagation for multi-stage neural-network learning. IJCNN (2007)
Eiji Mizutani, Stuart Dreyfus
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning. IJCNN (2006)
Eiji Mizutani, Stuart E. Dreyfus
Stagewise Newton, differential dynamic programming, and neighboring optimum control for neural-network learning. ACC (2005)
Eiji Mizutani, James Demmel
Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply. NIPS (2003)
Eiji Mizutani, James Demmel
On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning. Neural Networks 16 (5-6) (2003)
Eiji Mizutani, Stuart E. Dreyfus
On using discretized Cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains. CIRA (2003)
Eiji Mizutani, Kenichi Nishio
Multi-illuminant color reproduction for electronic cameras via CANFIS neuro-fuzzy modular network device characterization. IEEE Trans. Neural Networks 13 (4) (2002)
Eiji Mizutani, Kenichi Nishio
Fuzzy mixtures of complementary local experts: towards neuro-fuzzy modular networks. FUZZ-IEEE (2002)
Eiji Mizutani, Hideyuki Takagi, David M. Auslander, Jyh-Shing Roger Jang
Evolving color recipes. IEEE Trans. Syst. Man Cybern. Part C 30 (4) (2000)
Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application. IJCNN (2) (2000)
Eiji Mizutani, James Demmel
On Iterative Krylov-Dogleg Trust-Region Steps for Solving Neural Networks Nonlinear Least Squares Problems. NIPS (2000)
Eiji Mizutani
Sample path-based policy-only learning by actor neural networks. IJCNN (1999)
Eiji Mizutani
Powell's dogleg trust-region steps with the quasi-Newton augmented Hessian for neural nonlinear least-squares learning. IJCNN (1999)
Jyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani
Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review]. IEEE Trans. Autom. Control. 42 (10) (1997)
Eiji Mizutani, Jyh-Shing Roger Jang
Coactive neural fuzzy modeling. ICNN (1995)
Eiji Mizutani, Jyh-Shing Roger Jang, Kenichi Nishio, Hideyuki Takagi, David M. Auslander
Coactive neuro-fuzzy modelling for colour recipe prediction. ICNN (1995)