This paper presents a modification to the original ART 1 algorithm ([Carpenter and Grossberg, 1987a], A massively parallel architecture for a self-organizing neural pattern recognition machine, Computer Vision, Graphics, and Image Processing, 37, 54-115) that is conceptually similar, can be implemented in hardware with less sophisticated building blocks, and maintains the computational capabili...

Recently, neural networks are drawing much attention as a method to realize flexible information processing. Neural networks consider neuron groups of the brain in the creature, and imitate these neurons technologically. Neural networks have some features, especially one of the important features is that the networks can learn to acquire the ability of information processing. In the filed of ne...

We study the existence and exponential attractivity of periodic solutions to Cohen-Grossberg neural network with distributed delays. Our results are obtained by applying the continuation theorem of coincidence degree theory and a general Halanay inequality.

The Carpenter-Grossberg ART-2 and Kohonen Self-organizing Feature Map (SOFM) have been developed for the clustering of input vectors and have been commonly used as unsupervised learned classifiers. In this paper we describe the use of these neural network models for signature verification. The biometric data of all signatures were acquired by a special digital data acquisition pen and fast wave...