An adaptive fuzzy logic controller: its VLSI architecture and applications
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Self-Organizing Maps
A Fast Digital Fuzzy Processor
IEEE Micro
The self-organizing relationship (SOR) network employing fuzzy inference based heuristic evaluation
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
An improved classification for parallel inference framework with hierarchy
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
| Hi-index | 0.00 |
This paper describes a new algorithm of self-organizing relationship (SOR) network for an efficient digital hardware implementation and also presents its digital hardware architecture. In SOR network, the weighted average of fuzzy inference takes heavy calculation cost. To cope with this problem, we propose a fast calculation algorithm for the weighted average using only active units. We also propose a new generating technique of membership function by representing its width on power-of-two, which suits well with the digital hardware bit-shift process. The proposed algorithm is implemented on FPGA with massively parallel architecture. The experimental result shows that the proposed SOR network architecture has a good approximation ability of nonlinear functions.