Neuro-fuzzy systems is a soft computing technique for developing intelligent systems that
solve complex real-world problems in a way that closely resembles human reasoning. In this …

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 …

In this paper, the design of a novel low-power Min/Max circuit using Carbon Nanotube Field-
Effect Transistor (CNTFET) technology has been discussed. By employing a new structure …

Purpose–Current-mode approach promises faster and more precise comparators that lead
to high-performance and accurate winner-take-all circuits. The purpose of this paper is to …

This paper presents a voltage-mode loser/winner-take-all circuit that has high speed and
accuracy with low power consumption and which is suitable for LED driver applications. The …

Neuromorphic circuits have recently emerged as promising candidates for future computing
paradigms. Min-Max circuits are indispensable building blocks in many neuromorphic …

This paper presents a novel programmable direct membership function circuit (DMFC) and
complementary membership function circuit (CMFC) that can be used in adaptive fuzzy logic …

Neuromorphic systems have recently emerged as promising candidates for future computing
paradigms. Min-Max circuits are indispensable building blocks in Artificial Neural Networks …

The incessant down scaling of CMOS technology has been the main driving force for the
semiconductor industry over the past decades. Yet, as process variations and leakage …