An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis

Author:

Yang Tiantian,Asanjan Ata Akabri,Faridzad Mohammad,Hayatbini Negin,Gao Xiaogang,Sorooshian Soroosh

Funder

U.S. Department of Energy

California Energy Commission

MASEEH fellowship

NSF CyberSEES Project

NOAA/NESDIS/NCDC

NCSU CICS

U.S. Army Research Office

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference50 articles.

1. A new evolutionary search strategy for global optimization of high-dimensional problems;Chu;Inf. Sci.,2011

2. Comment on “High‐dimensional posterior exploration of hydrologic models using multiple‐try DREAM (ZS) and high‐performance computing;Chu,2014

3. Seeker optimization algorithm for tuning the structure and parameters of neural networks;Dai;Neurocomputing,2011

4. Evolutionary artificial neural networks: a review;Ding;Artif. Intel. Rev.,2013

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