Artificial neural network training using a new efficient optimization algorithm

作者: Alireza Askarzadeh , Alireza Rezazadeh

DOI: 10.1016/J.ASOC.2012.10.023

关键词:

摘要: … optimization algorithm, bird mating optimizer (BMO), for training feed-forward ANNs. BMO is a population-based search method … is first applied to classify three well known problems, and …

参考文章(23)
David J. Montana, Training feedforward neural networks using genetic algorithms international joint conference on artificial intelligence. pp. 762- 767 ,(1989)
David E. Rumelhart, Geoffrey E. Hinton, Ronald J. Williams, Learning representations by back-propagating errors Nature. ,vol. 323, pp. 696- 699 ,(1988) , 10.1038/323533A0
Alireza Askarzadeh, Alireza Rezazadeh, A new heuristic optimization algorithm for modeling of proton exchange membrane fuel cell: bird mating optimizer International Journal of Energy Research. ,vol. 37, pp. 1196- 1204 ,(2013) , 10.1002/ER.2915
Robert J. Schalkoff, Artificial neural networks ,(1997)
Alireza Askarzadeh, Alireza Rezazadeh, Artificial immune system-based parameter extraction of proton exchange membrane fuel cell International Journal of Electrical Power & Energy Systems. ,vol. 33, pp. 933- 938 ,(2011) , 10.1016/J.IJEPES.2010.12.036
Zhi-Dan Zhong, Xin-Jian Zhu, Guang-Yi Cao, Modeling a PEMFC by a support vector machine Journal of Power Sources. ,vol. 160, pp. 293- 298 ,(2006) , 10.1016/J.JPOWSOUR.2006.01.040
Alireza Askarzadeh, Alireza Rezazadeh, A grouping-based global harmony search algorithm for modeling of proton exchange membrane fuel cell International Journal of Hydrogen Energy. ,vol. 36, pp. 5047- 5053 ,(2011) , 10.1016/J.IJHYDENE.2011.01.070
Saso Džeroski, Bernard Ženko, Is Combining Classifiers with Stacking Better than Selecting the Best One Machine Learning. ,vol. 54, pp. 255- 273 ,(2004) , 10.1023/B:MACH.0000015881.36452.6E
M YE, X WANG, Y XU, Parameter identification for proton exchange membrane fuel cell model using particle swarm optimization International Journal of Hydrogen Energy. ,vol. 34, pp. 981- 989 ,(2009) , 10.1016/J.IJHYDENE.2008.11.026