Proposal of fully augmented complex-valued neural networks

Author:

Nitta Tohru1ORCID

Affiliation:

1. Graduate School of Artificial Intelligence and Science, Rikkyo University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

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

Reference41 articles.

1. [1] C.Y. Lee, H. Hasegawa, and S.C. Gao, “Complex-valued neural networks: A comprehensive survey,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 8, pp. 1-21, 2022.

2. [2] T. Nitta and T. Furuya, “A complex back-propagation learning,” Transactions of Information Processing Society of Japan, vol. 32, no. 10, pp. 1319-1329, 1991 (in Japanese).

3. [3] T. Nitta, “A complex numbered version of the back-propagation algorithm,” In Proc. INNS World Congress on Neural Networks (WCNN1993), Portland, July 11-15, vol. 3, pp. 576-579, 1993.

4. [4] T. Nitta, “An extension of the back-propagation algorithm to complex numbers,” Neural Networks, vol. 10, no. 8, pp. 1392-1415, 1997.

5. [5] T. Nitta, “Orthogonality of decision boundaries in complex-valued neural networks,” Neural Computation, vol. 16, no. 1, pp. 73-97, 2004.

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