Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
Recently, we have proposed Self-Evolving Modular network (SEEM), in which number of modules is increased depending on input data episodes in self-organizing manner.While SEEM can find the number of modules for a task, it is necessary to preliminarily set the number of modules in conventional modular network. In this study, various experiments are conducted to verify the effectiveness of SEEM.