Automated Network Drawing Using Self-Organizing Map

In this paper, a method for automatically creating circuit schematic diagrams from the topological information contained in network data files has been proposed. This method is based on Self-Organizing Map (SOM) neural network and the basic idea behind the method is to let the network span itself according to a given “shape” of the network grid. The topology of a network is defined by the connections between its nodes. By forming an SOM using the network connection topology and training it using data grids of desired “shape”, the positions of the nodes and their neighbors will be gradually updated until a desired diagram has been created.