A hardware implementation design of parallelized fuzzy Adaptive Resonance Theory neural
network is described and simulated. Parallel category choice and resonance are …

In this paper, a sequential and partially parallel Fuzzy Adaptive Resonance Theory (ART)
neural network (NN) are simulated. Simulations are performed in Matlab environment …

Fuzzification of neural networks show great promise in improving system reliability and
computational efficiency. In the present work we explore the possibility of combining fuzzy …

This paper describes research of artificial neural networks based on adaptive resonance
theory. Discovered the shortcomings and problems of applying the existing structures of …

Introduced by Stephen Grossberg in the year 1976 Adaptive Resonance Theory (ART),
deals a wide variety of Artificial Neural Networks. Initially ART system was mainly for the …

In the paper a Sugeno architecture based hardware implemented neuro adaptive inference
system's training algorithm is presented. The block diagram of the neuro-adaptive inference …

This paper presents a mixed analog/digital circuit design and simulation for an architecture
called the augmented adaptive resonance theory-1 neural network (AART1-NN). The circuit …

The Adaptive Resonance Theory (ART) is an unsu-pervised neural network. Fuzzy ART is a
variation of ART, allows both binary and continuous input patterns. However, Fuzzy ART has …

The paper is devoted to the problem of hardware implementation of a classifier built on the
basis of adaptive resonance theory (ART). The paper presents a variant of the hardware …

A functional model of a memristive element (ME) with multiple internal state variables (ISV)
is proposed. The dynamics of each of the ME ISV is determined by functional …