?url_ver=Z39.88-2004&rft_id=10.1007%2F978-981-10-6463-0%E2%82%82%E2%82%86&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.aufirst=S.A.&rft.aulast=Taqvi&rft.au=Taqvi%2C+S.A.&rft.title=Communications+in+Computer+and+Information+Science&rft.date=2017&rft.volume=751&rft.issn=18650929&rft.isbn=9789811064623&rft.atitle=Artificial+neural+network+for+anomalies+detection+in+distillation+column&rft.pages=302-311&rft.genre=article