Author:
Anochi Juliana A.,Hernández Torres Reynier,Campos Velho Haroldo F.
Publisher
Springer International Publishing
Reference23 articles.
1. Anochi, J.A., Hernández Torres, R., Campos Velho, H.F. Pure Appl. Geophys. (2019).
https://doi.org/10.1007/s00024-019-02386-y
2. Anochi, J.A., Campos Velho, H.F.: Optimization of feedforward neural network by Multiple Particle Collision Algorithm. In: IEEE Symposium on Foundations of Computational Intelligence , pp. 128–134 (2014).
https://doi.org/10.1109/FOCI.2014.7007817
3. Anochi, J., Sambatti, S., Luz, E., de Campos Velho, H.F.: New learning strategy for supervised neural network: MPCA meta-heuristic approach. In: 1st BRICS Countries 11th CBIC Brazilian Congress on Computational Intelligence, Recife, Brasil (2013)
4. Anochi, J.A., Silva, J.D.: Uso de redes neurais artificiais e teoria de conjuntos aproximativos no estudo de padrões climáticos sazonais. Learn. Nonlinear Models 7, 83–91 (2009)
5. Carvalho, A., Ramos, M., Chaves, A.: Metaheuristics for the feedforward artificial neural network (ANN) architecture optimization problem. Neural Comput. Appl. 20, 1273–1284 (2011)
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