?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.title=Controlling+Chaos+in+a+Neural+Network+Based+on+the+Phase+Space+Constraint&rft.creator=HE%2C+Dr+Guo-guang&rft.creator=CAO%2C+Prof.+Zhi-tong&rft.creator=CHEN%2C+Dr.+Hong-ping&rft.creator=ZHU%2C+Dr+Ping&rft.subject=Dynamical+Systems&rft.description=The+chaotic+neural+network+constructed+with+chaotic+neurons+exhibits+very+rich+dynamic%0Abehaviors+and+has+a+nonperiodic+associative+memory.+In+the+chaotic+neural+network%2C%0Ahowever%2C+it+is+dicult+to+distinguish+the+stored+patters+from+others%2C+because+the+states+of%0Aoutput+of+the+network+are+in+chaos.+In+order+to+apply+the+nonperiodic+associative+memory%0Ainto+information+search+and+pattern+identication%2C+etc%2C+it+is+necessary+to+control+chaos+in%0Athis+chaotic+neural+network.+In+this+paper%2C+the+phase+space+constraint+method+focused+on%0Athe+chaotic+neural+network+is+proposed.+By+analyzing+the+orbital+of+the+network+in+phase%0Aspace%2C+we+chose+a+part+of+states+to+be+disturbed.+In+this+way%2C+the+evolutional+spaces+of%0Athe+strange+attractors+are+constrained.+The+computer+simulation+proves+that+the+chaos%0Ain+the+chaotic+neural+network+can+be+controlled+with+above+method+and+the+network+can%0Aconverge+in+one+of+its+stored+patterns+or+their+reverses+which+has+the+smallest+Hamming%0Adistance+with+the+initial+state+of+the+network.+The+work+claries+the+application+prospect%0Aof+the+associative+dynamics+of+the+chaotic+neural+network.&rft.date=2003-09&rft.type=Journal+(Paginated)&rft.type=NonPeerReviewed&rft.format=application%2Fpdf&rft.identifier=http%3A%2F%2Fcogprints.org%2F4538%2F1%2FIJMPB-17-4209.pdf&rft.identifier=++HE%2C+Dr+Guo-guang+and+CAO%2C+Prof.+Zhi-tong+and+CHEN%2C+Dr.+Hong-ping+and+ZHU%2C+Dr+Ping++(2003)+Controlling+Chaos+in+a+Neural+Network+Based+on+the+Phase+Space+Constraint.++%5BJournal+(Paginated)%5D+++++&rft.relation=http%3A%2F%2Fcogprints.org%2F4538%2F