?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Knowledge-based+Neural+Network+for+Line+Flow+Contingency+Selection+and+Ranking&rft.creator=Malik%2C+Mr.+Nitin&rft.creator=Srivastava%2C+Dr.+Laxmi&rft.subject=Neural+Modelling&rft.subject=Neural+Nets&rft.description=The+Line+flow+Contingency+Selection+and+Ranking+(CS+%26+R)+is+performed+to+rank+the+critical+contingencies+in+order+of+their+severity.+An+Artificial+Neural+Network+based+method+for+MW+security+assessment+corresponding+to+line+outage+events+have+been+reported+by+various+authors+in+the+literature.+One+way+to+provide+an+understanding+of+the+behaviour+of+Neural+Networks+is+to+extract+rules+that+can+be+provided+to+the+user.+The+domain+knowledge+(fuzzy+rules+extracted+from+Multi-layer+Perceptron+model+trained+by+Back+Propagation+algorithm)+is+integrated+into+a+Neural+Network+for+fast+and+accurate+CS+%26+R+in+an+IEEE+14-bus+system%2C+for+unknown+load+patterns+and+are+found+to+be+suitable+for+on-line+applications+at+Energy+Management+Centers.+The+system+user+is+provided+with+the+capability+to+determine+the+set+of+conditions+under+which+a+line-outage+is+critical%2C+and+if+critical%2C+then+how+severe+it+is%2C+thereby+providing+some+degree+of+transparency+of+the+ANN+solution.&rft.date=2006-02&rft.type=Conference+Paper&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F4362%2F1%2FKBNN_for_Line_flow_CS%2526R.pdf&rft.identifier=++Malik%2C+Mr.+Nitin+and+Srivastava%2C+Dr.+Laxmi++(2006)+Knowledge-based+Neural+Network+for+Line+Flow+Contingency+Selection+and+Ranking.++%5BConference+Paper%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F4362%2F