Optimal path finding with space variant metric weights via multilayer CNN-UM
作者： Hyongsuk Kim , Youngsu Park , T. Roska , L.O. Chua
DOI: 10.1109/ISCAS.2001.921339
关键词:
摘要: Analogic CNN-based optimal path finding algorithm is proposed to solve the problem with space variant metric weights. The based on analog version of modified dynamic programming which implemented nonlinear templates multi-layer CNN-UM. structure composed distance computing layer, intermediate and layer. Employment layers allows weights be provided externally CNN compact.
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