Fuzzy systems, neural networks and neuro-fuzzy systems: A vision on their hardware implementation and platforms over two decades

G Bosque, I del Campo, J Echanobe - Engineering Applications of Artificial …, 2014 - Elsevier
In recent decades, and in order to develop applications covering several areas of
knowledge, different researchers have been performing hardware implementations around …

Design of a memristor based fuzzy processor

M Tarkhan, M Maymandi-Nejad - AEU-International Journal of Electronics …, 2018 - Elsevier
This paper presents a mixed-signal hybrid CMOS/Nano circuit to implement a fully
programmable fuzzy processor that performs the zero-order Sugeno's algorithm. The …

Hardware implementation of an α-level based binary search and shifting fuzzifier (α-BSSF)

C Barron-Romero… - Journal of Intelligent & …, 2020 - content.iospress.com
Fuzzy processors are used for control actions in nonlinear mechatronic systems where high
processing speed is required. The Field Programmable Gate Arrays (FPGA) are a good …

[HTML][HTML] Efficient fault-tolerant implementation of imprecision tolerant applications in nano scale error-prone VLSI technologies: A case study on fuzzy hardware

HR Mahdiani, MHS Javadi - Engineering Science and Technology, an …, 2020 - Elsevier
Emerging nano-level technologies provide very high device densities that facilitate high
performance implementation of more complex applications. However, they also introduce …

Development of FPGA based Standalone Tunable Fuzzy Logic Controllers

BR Jammu - 2017 - ethesis.nitrkl.ac.in
Soft computing techniques differ from conventional (hard) computing, in that unlike hard
computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. In effect …