Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks

Application of the fuzzy ARTMAP neural network model to medical pattern classification tasks

This paper presents research into the application of the fuzzy ARTMAP neural network model to medical pattern classification tasks. A number of domains, both diagnostic and prognostic, are considered. Each such domain highlights a particularly useful aspect of the model. The first coronary care patient prognosis, demonstrates the ARTMAP voting strategy involving 'pooled' decision-making using a...

Classification of Incomplete Data Using the Fuzzy ARTMAP Neural Network

The fuzzy ARTMAP neural network is used to classify data that is incomplete in one or more ways. These include a limited number of training cases, missing components, missing class labels, and missing classes. Modifications for dealing with such incomplete data are introduced, and performance is assessed on an emitter identification task using a data base of radar pulses.

Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification

Since its inception in 1992, the fuzzy ARTMAP (FAM) neural network (NN) has attracted researchers’ attention as a fast, accurate, off and online pattern classifier. Since then, many studies have explored different issues concerning FAM optimization, training and evaluation, e.g., model sensitivity to parameters, ordering strategy for the presentation of the training patterns, training method an...

Application of the Fuzzy ART&ARTMAP Neural Network to the Electrical Load Forecasting Problem

Image Upscaling and Fuzzy ARTMAP Neural Network

In Image upscaling, a higher resolution image is processed from an available low resolution image. There are numerous scenarios and applications where image upscaling is required and performed. The paper proposes a simple image scaling algorithm and implements it with a fuzzy variant of the supervised ART neural network, ARTMAP. The method has been compared with nearest neighbor interpolation, ...