Eiji Mizutani
Orcid: 0000-0003-0359-2964Affiliations:
- National Taiwan University of Science and Technology, Taiwan
According to our database1,
Eiji Mizutani
authored at least 33 papers
between 1995 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
A tutorial on the art of dynamic programming for some issues concerning Bellman's principle of optimality.
ICT Express, December, 2023
A note on a single-shift days-off scheduling problem with sequence-dependent labor costs.
J. Sched., June, 2023
2021
Inf. Sci., 2021
2020
A Proof on Equivalence of Stagewise Newton and Dreyfus's Successive Approximation Procedures.
IEEE Trans. Autom. Control., 2020
2019
A Note on Liao's Recurrent Neural-Network Learning for Discrete Multi-stage Optimal Control Problems.
Neural Process. Lett., 2019
On Two New Dynamic-Programming Procedures As Efficient As the Wagner-Whitin Regeneration-Point Type in Dynamic Lot Sizing.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019
2017
Totally model-free actor-critic recurrent neural-network reinforcement learning in non-Markovian domains.
Ann. Oper. Res., 2017
2015
On Pantoja's problem allegedly showing a distinction between differential dynamic programming and stagewise Newton methods.
Int. J. Control, 2015
On a staged successive approximation procedure for approximate dynamic programming solutions to board game playing.
Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015
2012
A block-approximate local Hessian-matrix analysis for CANFIS neuro-fuzzy modular network learning.
Proceedings of the FUZZ-IEEE 2012, 2012
2011
On improving trust-region variable projection algorithms for separable nonlinear least squares learning.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the FUZZ-IEEE 2011, 2011
On exploiting sparsity in CANFIS neuro-fuzzy modular network learning by second-order stagewise backpropagation.
Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011
2010
An analysis on negative curvature induced by singularity in multi-layer neural-network learning.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
2008
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, 2008
Second-order stagewise backpropagation for Hessian-matrix analyses and investigation of negative curvature.
Neural Networks, 2008
2007
Proceedings of the International Joint Conference on Neural Networks, 2007
On practical use of stagewise second-order backpropagation for multi-stage neural-network learning.
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning.
Proceedings of the International Joint Conference on Neural Networks, 2006
2005
Stagewise Newton, differential dynamic programming, and neighboring optimum control for neural-network learning.
Proceedings of the American Control Conference, 2005
2003
On structure-exploiting trust-region regularized nonlinear least squares algorithms for neural-network learning.
Neural Networks, 2003
Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
On using discretized Cohen-Grossberg node dynamics for model-free actor-critic neural learning in non-Markovian domains.
Proceedings of the IEEE International Symposium on Computational Intelligence in Robotics and Automation: Computational Intelligence in Robotics and Automation for the New Millennium, 2003
2002
Multi-illuminant color reproduction for electronic cameras via CANFIS neuro-fuzzy modular network device characterization.
IEEE Trans. Neural Networks, 2002
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 2002
2000
On Iterative Krylov-Dogleg Trust-Region Steps for Solving Neural Networks Nonlinear Least Squares Problems.
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application.
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000
1999
Proceedings of the International Joint Conference Neural Networks, 1999
Powell's dogleg trust-region steps with the quasi-Newton augmented Hessian for neural nonlinear least-squares learning.
Proceedings of the International Joint Conference Neural Networks, 1999
1997
Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review].
IEEE Trans. Autom. Control., 1997
1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995
Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995