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논문명(한글) [1권1호] A Neural Network Model for Graph Planarization Problem
논문투고자 Jong-Chan Lee, Sang-Yeop Cho
논문내용 We introduce a new learning algorithm for the graph planarization problem which can be applied to a PCB design and a routing problem in the VLSI design processes. This algorithm solves the planar graph problem in only one step, which usually took two steps in general. We construct a neural network that consists of computational nodes of selected edges by a preprocessing process. Due to the characteristics of MFA, the energy function is simplified by removing some constraint terms.
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