-Fuzzy ARTMAP is one of the recently proposed neural network paradigm where the fuzzy logic is incorporated. In this paper, we compare the Fuzzy ARTMAP neural network and the well-known back-propagation based Multi-layer perceptron (MLP), in the context of hand-written character recognition problem. The results presented in this paper shows that the Fuzzy ARTMAP out-performs its counterpart, bo...

An evaluation of distributed learning as a means to attenuate the category proliferation problem in Fuzzy ARTMAP based neural systems is carried out, from both qualitative and quantitative points of view. The study involves two original winner-take-all (WTA) architectures, Fuzzy ARTMAP and FasArt, and their distributed versions, dARTMAP and dFasArt. A qualitative analysis of the distributed lea...

In this paper, in order to improve recognition rate of the Jing Hua honey by adding different proportions of glucose, the pattern recognition methods of Radial Basis Function (RBF), Fuzzy k-nearest neighbor algorithm (FKNN) and Fuzzy Adaptive Resonance Theory MAP (Fuzzy ARTMAP) were used to classify the different honey adulterated proportion. The result shows that the recognition effect by usin...

In video-based of face recognition applications, the What-and-Where Fusion Neural Network (WWFNN) has been shown to reduce the generalization error by accumulating a classifier’s predictions over time, according to each individual in the environment. In this paper, three ARTMAP variants – fuzzy ARTMAP, ART-EMAP (Stage 1) and ARTMAP-IC – are compared for the classification of faces detected in t...

In applications of face recognition from video, the What-and-Where fusion neural network has been shown to reduce the generalization error by effectively accumulating a classifier’s predictions over time, according to each individual in the environment. In this paper, fuzzy ARTMAP and ARTMAP-IC are compared for the classification of faces detected in video frames within the What-and-Where fusio...

A new architecture called muARTMAP is proposed to impact a category proliferation problem present in Fuzzy ARTMAP. Under a probabilistic setting, it seeks a partition of the input space that optimizes the mutual information with the output space, but allowing some training error, thus avoiding overfitting. It implements an inter-ART reset mechanism that permits handling exceptions correctly, th...

Ž . The Fuzzy ARTMAP neural network is a supervised pattern recognition method based on fuzzy adaptive resonance theory ART . It is Ž a promising method since Fuzzy ARTMAP is able to carry out on-line learning without forgetting previously learnt patterns stable . Ž . learning , it can recode previously learnt categories adaptive to changes in the environment and is self-organising. This paper ...

Recently, there has been a growing interest in the application of Fuzzy ARTMAP for use in building energy management systems or EMS. However, a number of papers have indicated that there are important weaknesses to the Fuzzy ARTMAP approach, such as sensitivity to noisy data and category proliferation. Gaussian ARTMAP was developed to help overcome these weaknesses, raising the question of whet...

This paper presents an approach to reduction noise of speech voice commanded automatic wheel chair using a technique based on the fuzzy ARTMAP neural network (FAMNN). The measurable output noisy speech with 5dB, 1dB, -1dB, -5dB and -10dB SNR level is obtained as the contaminated signal of the interference to compare with the output data of the filter. The white noise source is acquired as the i...

A Fuzzy ARTMAP classifier for pattern recognition in chemical sensor array was developed based on Fuzzy Set Theory and Adaptive Resonance Theory. In contrast to most current classifiers with difficulty in detecting new analytes, the Fuzzy ARTMAP system can identify untrained analytes with comparatively high probability. And to detect presence of new analyte, the Fuzzy ARTMAP classifier does not...