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Mathematical Problems in Engineering
Volume 2015, Article ID 306401, 10 pages
http://dx.doi.org/10.1155/2015/306401
Research Article

The Optimization of Chiller Loading by Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms

Department of Energy and Refrigerating Air-Conditioning Engineering, National Taipei University of Technology, No.1, Section 3, Zhongxiao E. Road, Taipei 10608, Taiwan

Received 8 May 2015; Accepted 21 June 2015

Academic Editor: Zhike Peng

Copyright © 2015 Jyun-Ting Lu 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

Jyun-Ting Lu, Yung-Chung Chang, and Cheng-Yi Ho, “The Optimization of Chiller Loading by Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms,” Mathematical Problems in Engineering, vol. 2015, Article ID 306401, 10 pages, 2015. https://doi.org/10.1155/2015/306401.