1. Assunção, F., Lourenço, N., Machado, P., Ribeiro, B.: Towards the evolution of multi-layered neural networks: a dynamic structured grammatical evolution approach. In: Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2017, pp. 393–400. ACM, New York (2017).
http://doi.acm.org/10.1145/3071178.3071286
2. Blum, A., Rivest, R.L.: Training a 3-node neural network is NP-complete. In: Proceedings of the 1st International Conference on Neural Information Processing Systems, pp. 494–501. MIT Press (1988)
3. Lecture Notes in Computer Science;Z Buk,2009
4. David, O.E., Greental, I.: Genetic algorithms for evolving deep neural networks. In: Proceedings of the Companion Publication of the 2014 Annual Conference on Genetic and Evolutionary Computation, pp. 1451–1452. ACM (2014)
5. Deb, K., Anand, A., Joshi, D.: A computationally efficient evolutionary algorithm for real-parameter optimization. Evol. Comput. 10(4), 371–395 (2002)