A Fast Simplified Fuzzy ARTMAP Network

作者：Mohammad-Taghi Vakil-Baghmisheh, Nikola Pavešić

摘要

We present an algorithmic variant of the simplified fuzzy ARTMAP (SFAM) network, whose structure resembles those of feed-forward networks. Its difference with Kasuba's model is discussed, and their performances are compared on two benchmarks. We show that our algorithm is much faster than Kasuba's algorithm, and by increasing the number of training samples, the difference in speed grows enormously.

论文关键词：backpropagation with selective training, backpropagation with plummeting learning rate factor, comparative study, Farsi optical character recognition, multilayer perceptron, neural networks, simplified fuzzy ARTMAP

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论文官网地址：https://doi.org/10.1023/A:1026004816362