Hardware for a new fuzzy-based modeling system and its redundancy

The active learning method (ALM) is a new methodology of soft computing. The ALM has processing engines called IDS´s, which are tasked with extracting useful information from a system subject to modeling. In realizing the hardware for ALM, it is desirable in terms of processing nature, performance, and robustness to utilize dedicated hardware for the IDS. A high performance IDS processing unit that meets these requirements was developed. In this paper, outlines of the new IDS hardware and performance test results are presented. This paper also deals with the fault tolerance of ALM systems.