Direct and Indirect Evolutionary Designs of Artificial Neural Networks-Reference-Cited by-同舟云学术

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Direct and Indirect Evolutionary Designs of Artificial Neural Networks

Published:2020 Issue: Volume: Page:431-443
ISSN:1860-949X
Container-title:Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications
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Author:

Alba-Cisneros O.,Espinal A.,López-Vázquez G.,Sotelo-Figueroa M. A.,Purata-Sifuentes O. J.,Calzada-Ledesma V.,Vázquez R. A.,Rostro-González H.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-35445-9_31

Reference28 articles.

1. Amaldi, E., Mayoraz, E., de Werra, D.: A review of combinatorial problems arising in feedforward neural network design. Discrete Appl. Math. 52(2), 111–138 (1994)

2. Blum, A.L., Rivest, R.L.: Training a 3-node neural network is NP-complete. Neural Netw. 5(1), 117–127 (1992)

3. DasGupta, B., Siegelmann, H.T., Sontag, E.: On the intractability of loading neural networks. In: Theoretical Advances in Neural Computation and Learning, pp. 357–389. Springer, Heidelberg (1994)

4. Studies in Computational Intelligence;Ian Dempsey,2009

5. Dheeru, D., Karra Taniskidou, E.: UCI Machine Learning Repository (2017)

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