This paper presents a hardware unit for modeling systems using the active learning method (ALM). The ALM, a new methodology of soft computing, has processing units called IDS's, which are tasked with extracting useful information from a system subject to modeling. In realizing the ALM in hardware, it is desirable in terms of processing nature, performance, and scalability to utilize dedicated hardware for IDS. A developed high performance IDS processing unit enables ALM-based modeling systems to increase real-time capabilities. The hardware implementation of IDS and performance test results of the hardware are reported, and a consideration of the redundancy of IDS processing units is described.
['Masayuki Murakami', 'Nakaji Honda', 'Junji Nishino']
A high performance IDS processing unit for a new fuzzy-based modeling