神经网络在逻辑阵布图中的应用

Application of Neural Network to The Dimensional Logic Array

首先我们定义准连接向量,然后将一维逻辑阵布图问题归结为非正交准连接向量数目最小的优化问题,利用改进的Hopfield神经网络模型求解.最后给出嵌入线网的算法.

We lay down a definition of quasi-linkage vector, then, put the problem of one-dimensional logic array in optimization of smallest amount nonorthogonal quasi-linkage vector, get a solution by improved Hop-field neural network model and the algorithim of laying in wire-mesh.