Prediction of power in solar stirling heat engine by using neural network based on hybrid genetic algorithm and particle swarm optimization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-012-0880-y.pdf
Reference22 articles.
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3. Luo YJ, He XN, Wang CG (2005) Solar application technology. Chemical Industry Press, Beijing, pp 253–271
4. Rallo R, Ferre-Gin J, Arenas A, Giralt F (2002) Neural virtual sensor for the inferential prediction of product quality from process variables. Comput Chem Eng 26:1735–1754
5. Yaqi Li, Yaling He, Weiwei Wang (2011) Optimization of Solar-powered stirling heat engine with finite-time thermodynamics. Renewable Energy 36:421–427
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