An Extension of the Back-Propagation Algorithm to Complex Numbers

Author:

Nitta Tohru

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference16 articles.

1. A theory of adaptive pattern classifiers;Amari;IEEE Transactions on Electronic Computers,1967

2. Derrick, W. R. (1984). Complex analysis and applications. Wadsworth, Inc.

3. Kim, M. S., & Guest, C. C. (1990). Modification of backpropagation networks for complex-valued signal processing in frequency domain. Proceedings of the IJCNN, San Diego, June 3 (pp. 27–31).

4. Miyauchi, M., & Seki, M. (1992). Interpretation of optical flow through neural network learning. Proceedings of IEEE international conference on communications systems/international symposium on information theory and its applications, Singapore, Nov. (pp. 1247–1251).

5. Miyauchi, M., Seki, M., Watanabe, A., & Miyauchi, A. (1992). Interpretation of optical flow through neural network learning. Proceedings of IAPR workshop on machine vision applications, Tokyo, Dec., (pp. 523–528).

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