Application of genetic algorithms and systems of generating graphs for creation of modular neural networks

There are many methods based on joint use of genetic algorithms and neural networks. In the majority of these methods, the architecture of the network and/or its weights are coded into chromosomes directly, which results in a huge number of chromosomes and increases their dimensions. From this point of view, methods based on coding rules that generate networks are highly promising. In this paper, a method of creation of architectures of modular neural networks based on the use of grammatical systems for fractal generation is considered. Genetic algorithms are used as an "optimizer" of the neural architectures obtained.