doi: 10.4304/jsw.6.10.2050-2055
Optimizing for Large Time Delay Systems by BP Neural Network and Evolutionary Algorithm Improving
2Cognitive science department, Xiamen University, Xiamen, China
3School of software, Xiamen University, Xiamen, China
4Department of Computer Science, Xiamen University, Xiamen, China
Abstract—BP artificial neural network is a non-feedback network. This paper utilizes the initial weights of neural network to choose controller performance. Simultaneously according to the characteristics that process of central air-conditioning energy saving control is the system of multi-parameter and nonlinear time-varying complexity, we analysis and study its algorithm and system architecture. The experimental results demonstrate that new control system gets better results and energy saving.
Index Terms—Steady-state error; Robusfitness; BP Artificial Neural Network; Evolutionary Algorithm; Fuzzy PID Control Strategy
Cite: Fan Lin, Wenhua Zeng, Jianbing Xiahou, Yi Jiang, "Optimizing for Large Time Delay Systems by BP Neural Network and Evolutionary Algorithm Improving," Journal of Software vol. 6, no. 10, pp. 2050-2055, 2011.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
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