?url_ver=Z39.88-2004&rft_id=10.3233%2FIFS-130889&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.au=Ganesan%2C+T.&rft.aulast=Ganesan&rft.aufirst=T.&rft.title=Journal+of+Intelligent+and+Fuzzy+Systems&rft.date=2014&rft.issue=5&rft.volume=26&rft.issn=10641246&rft.atitle=Hopfield+neural+networks+approach+for+design+optimization+of+hybrid+power+systems+with+multiple+renewable+energy+sources+in+a+fuzzy+environment&rft.pages=2143-2154&rft.genre=article