?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Modelling+of+Metallurgical+Processes+Using+Chaos+Theory+and+Hybrid+Computational+Intelligence&rft.creator=Jallu%2C+Krishnaiah&rft.creator=C%2C+S+Kumar&rft.creator=Roy%2C+A+K&rft.creator=Faruqi%2C+M+Aslam&rft.subject=Dynamical+Systems&rft.subject=Machine+Learning&rft.subject=Complexity+Theory&rft.subject=Artificial+Intelligence&rft.description=The+main+objective+of+the+present+work+is+to+develop+a+framework+for+modelling+and+controlling+of+a+real+world+multi-input+and+multi-output+(MIMO)+continuously+drifting+metallurgical+process%2C+which+is+shown+to+be+a+complex+system.+A+small+change+in+the+properties+of+the+charge+composition+may+lead+to+entirely+different+outcome+of+the+process.+The+newly+emerging+paradigm+of+soft-computing+or+Hybrid+Computational+Intelligence+Systems+approach+which+is+based+on+neural+networks%2C+fuzzy+sets%2C+genetic+algorithms+and+chaos+theory+has+been+applied+to+tackle+this+problem+In+this+framework+first+a+feed-forward+neuro-model+has+been+developed+based+on+the+data+collected+from+a+working+Submerged+Arc+Furnace+(SAF).+Then+the+process+is+analysed+for+the+existence+of+the+chaos+with+the+chaos+theory+(calculating+indices+like+embedding+dimension%2C+Lyapunov+exponent+etc).+After+that+an+effort+is+made+to+evolve+a+fuzzy+logic+controller+for+the+dynamical+process+using+combination+of+genetic+algorithms+and+the+neural+networks+based+forward+model+to+predict+the+system%E2%80%99s+behaviour+or+conditions+in+advance+and+to+further+suggest+modifications+to+be+made+to+achieve+the+desired+results.&rft.date=2002-01&rft.type=Conference+Paper&rft.type=PeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F4882%2F1%2Fsaf-icammp02.pdf&rft.identifier=++Jallu%2C+Krishnaiah+and+C%2C+S+Kumar+and+Roy%2C+A+K+and+Faruqi%2C+M+Aslam++(2002)+Modelling+of+Metallurgical+Processes+Using+Chaos+Theory+and+Hybrid+Computational+Intelligence.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F4882%2F