Short time decision VLSI fuzzy processor
Fuzzy hardware
Industrial Applications of Fuzzy Control
Industrial Applications of Fuzzy Control
Hardware implementation of intelligent systems
Hardware implementation of intelligent systems
A digital fuzzy processor for fuzzy-rule-based systems
Hardware implementation of intelligent systems
Very fast rate 2-input fuzzy processor for high energy physics
Fuzzy Sets and Systems - Fuzzy systems
Design and Implementation of a Fast Digital Fuzzy Logic Controller Using FPGA Technology
Journal of Intelligent and Robotic Systems
VLSI implementation of a module for realization of basic t-norms on fuzzy hardware
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
A digital hardware architecture of self-oganizing rlationship (SOR) ntwork
ICONIP'06 Proceedings of the 13th international conference on Neural information processing - Volume Part III
Defuzzification block: New algorithms, and efficient hardware and software implementation issues
Engineering Applications of Artificial Intelligence
A novel VLSI architecture for a fuzzy inference processor using Gaussian-shaped membership function
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
| Hi-index | 0.00 |
This article presents a fast digital Fuzzy Processor that has already been designed and realized in 0.7-(m digital CMOS technology obtained by European Silicon Structure (ES2) silicon foundry. It processes four 7-bit input variables and carries out one 7-bit output one. It may be synchronized up to a 50-MHz clock signal for an estimated power consumption of nearly 1300 mW. Moreover the rate of this chip varies from 80 ns to 320 ns depending on the number of input variables. The innovative idea is the no-time consuming methodology for selecting the fuzzy active rules. This is done by a parallel-pipeline architecture described in details. In the paper are summarized the Fuzzy Processor future implementations for High Energy Physics Experiments (HEPE). In addition, the architecture is explained with layout and data flow simulation pictures. Moreover the fuzzy logic methodologies which have been adopted are justified in terms of hardware implementation feasibility and speed requirements.