An application of higher order connection to inverse function delayed network-Reference-Cited by-同舟云学术

An application of higher order connection to inverse function delayed network

Published:2011 Issue:2 Volume:2 Page:180-197
ISSN:2185-4106
Container-title:Nonlinear Theory and Its Applications, IEICE
language:en
Short-container-title:NOLTA

Author:

Sota Takahiro¹,Hayakawa Yoshihiro²,Sato Shigeo¹,Nakajima Koji¹

Affiliation:

1. The Laboratory for Brainware/Laboratory for Nanoelectronics and Spintronics Research Institute of Electrical Communication, Tohoku University

2. Department of Information Systems, Sendai National College of Technology

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Link

https://www.jstage.jst.go.jp/article/nolta/2/2/2_2_180/_pdf

Reference8 articles.

1. [1] J.J. Hopfield and D.W. Tank, ““Neural” computation of decisions in optimal problems,” Biol. Cybern., vol. 52, pp. 141-152, 1985.

2. [2] K. Nakajima and Y. Hayakawa, “Characteristics of inverse function delayed model for neural computation,” Proc. NOLTA'02, pp. 861-864, 2002.

3. [3] A. Sato, Y. Hayakawa, and K. Nakajima, “The parameter dependence of the inverse function delayed model on the success rate of combinatorial optimization problems,” IEICE Trans. Fundamentals (Japanese Edition), vol. J89-A, no. 11, pp. 960-972, 2006.

4. [4] Y. Hayakawa and K. Nakajima, “Design of the inverse function delayed neural network for solving combinatorial optimization problems,” IEEE Trans. Neural Networks, vol. 21, no. 2, pp. 224-237, 2010.

5. [5] T. Samad and P. Harper, “High-order Hopfield and Tank optimization networks,” Parallel Computing, vol. 16, no. 2-3, pp. 287-292, 1990.

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