Fuzzy Inference Models Appropriate for Digital Circuit
Shinya Nagamine, Noritaka Shigei, Hiromi Miyajima · ITC-CSCC :International Technical Conference on Circuits Systems, Computers and Communications · 2008
In this paper, we propose fuzzy learning models suitable for digital circuit implementation. In the first place, we propose a division-free model which is advantageous in the circuit size and the processing speed. Next, we also consider to improve the accuracy of the division-free model by using ensemble learning. The effectiveness of the proposed methods is demonstrated by numerical simulations. Further, we describe a digital circuit design of the proposed model, and show the effectiveness of the design by the implementation on FPGA.