Ideal Chaotic Pattern Recognition Is Achievable: The Ideal-M-AdNN - Its Design and Properties

Author:

Qin Ke,Oommen B. John

Publisher

Springer Berlin Heidelberg

Reference26 articles.

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3. Adachi, M., Aihara, K.: Characteristics of associative chaotic neural networks with weighted pattern storage-a pattern is stored stronger than others. In: The 6th International Conference On Neural Information, Perth Australia, vol. 3, pp. 1028–1032 (1999)

4. Adachi, M., Aihara, K., Kotani, M.: Pattern dynamics of chaotic neural networks with nearest-neighbor couplings. In: The IEEE International Sympoisum on Circuits and Systems, vol. 2, pp. 1180–1183. Westin Stanford and Westin Plaza, Singapore (1991)

5. Aihara, K., Takabe, T., Toyoda, M.: Chaotic neural networks. Physics Letters A 144(6-7), 333–340 (1990)

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