?url_ver=Z39.88-2004&rft_id=10.1504%2FIJMPT.2021.115212&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.au=Shaik%2C+N.B.&rft.aulast=Shaik&rft.aufirst=N.B.&rft.pages=152-166&rft.atitle=Prediction+of+corrosion+properties+of+LENSTM+deposited+cobalt%2C+chromium+and+molybdenum+alloy+using+artificial+neural+networks&rft.volume=62&rft.issn=02681900&rft.issue=1-3&rft.date=2021&rft.title=International+Journal+of+Materials+and+Product+Technology&rft.genre=article