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- W165763178 abstract "This paper will show how the interpretation of strings resulting from L-systems can be adapted in such a way that L-systems can be used as graph grammars. One of the advantages of this adaptation is the possibility to make use of the context dependency available in L-systems. This context is calculated by using the graph interpretation of the strings at each successive step of the rewriting mechanism. The modifications to L-systems necessary in order to use them as graph grammars will be explained. A simple proof will be given that every possible directed graph can be generated using this representation. At the end of the paper an application of this G2L-system based graph grammar will be presented. In this application a genetic algorithm optimizes the rewriting rules of an G2L-system, trying to come to a more scalable method for finding good artificial neural network architectures in comparison with methods that do not use graph grammars. The presented G2L-system was specifically designed for this application to favour modular networks, but might be useful in general as well. Keywords—L-systems, Graph Grammars, Genetic Algorithms, Artificial Neural Networks, Modularity. †This work has been presented at the Fifth International Workshop on Graph Grammars and their Application to Computer Science, Williamsburg, Virginia, November 13–18, 1994. This paper is available as Technical Report 95-30, Computer Science Department, Leiden University. It is available by ftp: ftp://ftp.wi.leidenuniv.nl/pub/CS/TechnicalReports/1995/tr95-30.ps.gz" @default.
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- W165763178 date "2015-01-01" @default.
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- W165763178 title "Using L-Systems as Graph Grammar: G2L-Systems" @default.
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