%0 Journal Article %T APPLICATION OF SELF-ORGANIZING NEURAL NETWORK IN TIMING-DRIVEN PLACEMENT
Kohonen神经网络在时延驱动布局中的应用 %A Hu Weiming %A Lu Yun %A Zhu Yusong %A Yan Xiaolang %A
胡卫明 %A 吕耘 %A 朱育松 %A 严晓浪 %J 电子与信息学报 %D 1999 %I %X In this paper, a timing-driven placement algorithm using Kohonen self-organizing is proposed. The object function of the algorithm is to minimize the critical nets. In the algorithm, net-based similarity vector is presented. Compared with the cell-based similarity vector, net-based similarity vector not only can directly deal with the multi-terminal nets, but also can describe the information about timing. The experimental result shows that it is a effective method. %K Kohonen self-organizing neural network %K Timing-driven %K Placement
Kohonen自组织神经网络 %K 时延驱动 %K 布局 %U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=7580E443B74B7DAC84F36146BE513504&yid=B914830F5B1D1078&vid=659D3B06EBF534A7&iid=CA4FD0336C81A37A&sid=7C72DBC13F2D71EC&eid=5E25104E99903E8A&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=7