A robust firefly algorithm with backpropagation neural networks for solving hydrogeneration prediction

Hydrogeneration prediction typically has composite structures such as nonlinearity, non-stationarity, and fluctuation, which converts its predicting to be very tough. The applications of backpropagation neural network (BPNN) are very various and saturated. The linear threshold part of the BPNN produ...

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Bibliographic Details
Main Authors: Hammid, Ali Thaeer, M. H., Sulaiman, Awad, Omar I.
Format: Article
Language:en
Published: Springer 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/23312/1/A%20robust%20firefly%20algorithm%20with%20backpropagation%20neural%20networks%20for%20solving%20hydrogeneration%20prediction%20-%20s00202-018-0732-6.pdf
http://umpir.ump.edu.my/id/eprint/23312/
https://link.springer.com/article/10.1007/s00202-018-0732-6
https://doi.org/10.1007/s00202-018-0732-6
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