Centroid-Based Differential Evolution with Composite Trial Vector Generation Strategies for Neural Network Training

Author:

Rahmani Sahar,Mousavirad Seyed Jalaleddin,El-Abd Mohammed,Schaefer Gerald,Oliva Diego

Publisher

Springer Nature Switzerland

Reference41 articles.

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4. Communications in Computer and Information Science;TJ Choi,2017

5. Foresee, F.D., Hagan, M.T.: Gauss-Newton approximation to Bayesian learning. In: International Conference on Neural Networks, vol. 3, pp. 1930–1935 (1997)

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