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Scientific Programming
Volume 2018 (2018), Article ID 2943290, 7 pages
https://doi.org/10.1155/2018/2943290
Research Article

Developing a Novel Hybrid Biogeography-Based Optimization Algorithm for Multilayer Perceptron Training under Big Data Challenge

1College of Computer & Information Science, Southwest University, Chongqing, China
2College of Computer Science, Sichuan University, Chengdu, China

Correspondence should be addressed to Le Zhang; nc.ude.ucs@60elgnahz

Received 24 August 2017; Revised 8 December 2017; Accepted 18 January 2018; Published 1 March 2018

Academic Editor: Anfeng Liu

Copyright © 2018 Xun Pu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Xun Pu, ShanXiong Chen, XianPing Yu, and Le Zhang, “Developing a Novel Hybrid Biogeography-Based Optimization Algorithm for Multilayer Perceptron Training under Big Data Challenge,” Scientific Programming, vol. 2018, Article ID 2943290, 7 pages, 2018. doi:10.1155/2018/2943290