| 一种基于神经网络的多层通孔最小化方法 |
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| 引用本文： | 马琪 严晓浪. 一种基于神经网络的多层通孔最小化方法[J]. 微电子学, 1997, 27(1): 21-25 |
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| 作者姓名： | 马琪 严晓浪 |
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| 作者单位： | [1]杭州电子工业学院IC [2]CAD所 |
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| 基金项目： | 电子科学研究院预研项目 |
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| 摘 要： | 在多层布线的线段－相交图模型基础上，利用Ｈｏｐｆｉｅｌｄ人工神经网络理论，通过反通孔数目这个优化目标与Ｈｏｐｆｉｅｌ网络能量函烽相联系的方法来解决多层布线通孔最小化问题。算法考虑了许多来自实际的约束。
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| 关 键 词： | VLSI CAD 通孔最小化 多层布线 |
A Neural Network Approach to Multi Layer Constrained Via Minimization |
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| MA Qi,YAN Xiaolang and HU Weiming IC CAD Research Center,Hangzhou Institute of Electronic Engineering,Hangzhou,Zhejiang. A Neural Network Approach to Multi Layer Constrained Via Minimization[J]. Microelectronics, 1997, 27(1): 21-25 |
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| Authors: | MA Qi YAN Xiaolang HU Weiming IC CAD Research Center Hangzhou Institute of Electronic Engineering Hangzhou Zhejiang |
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| Affiliation: | MA Qi,YAN Xiaolang and HU Weiming IC CAD Research Center,Hangzhou Institute of Electronic Engineering,Hangzhou,Zhejiang 310037 |
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| Abstract: | A new approach to multi layer constrained via minimization is presented.The new approach based on the segment crossing graph model and Hopfield neural network theory.The minimization is achieved by correlating the number of vias with the energy function of Hopfield networks.In addition,many physical constraints are taken into consideration.It has been shown that this algorithm is very efficient and has the advantage of fast converging. |
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| Keywords: | VLSI CAD Neural network Via minimization Multi layer routing |
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