%0 Journal Article %T THE QUANTITATIVE ANALYSIS OF THE ATTRACTIVE REGION OF THE PLN NETWORK
PLN网络吸引区域的定量分析 %A Zhang Ling %A Zhang Bo %A
张铃 %A 张钹 %J 软件学报 %D 1994 %I %X This paper shows that when a generalized A-learning rule of a PLN net is given properly, the net can satisfy the following conditions. (1) All training samples are itsstable states. (2) Each stable state has a maximal attractive region. (3) The net has veryfast convergence speed. Therefore, as an associative memory the PLN network is an idealone. %K PLN network %K training sample %K stable state %K attractive region
PLN网络,训练样本,稳定状态,吸引域 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=7735F413D429542E610B3D6AC0D5EC59&aid=FA819402D3381AD872D5C8F2915E0E9B&yid=3EBE383EEA0A6494&vid=94C357A881DFC066&iid=5D311CA918CA9A03&sid=9CF7A0430CBB2DFD&eid=FC0714F8D2EB605D&journal_id=1000-9825&journal_name=软件学报&referenced_num=0&reference_num=7