A neural architecture, fuzzy ARTMAP, is considered here as an alternative to standard feedforward networks for noisy mapping tasks. It is one of a series of ...
In Fuzzy ARTMAP, a similar softer criterion could be used with slow learning in the map field weight vector wj, rather than the extreme case of fast learning in ...
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This work presents new theoretical results characterizing the stochastic convergence of FAMR, a FAM neural network used for classification, probability es- ...
A new neural network architecture for incremental supervised learning of analog multidimensional maps is introduced.
This paper presents a Fuzzy ARTMAP (FAM) based modular architecture for multi-class pattern recognition known as Modular Adaptive Resonance Theory Map (MARTMAP) ...
We will focus here on approximating functions that map from the vector-valued real domain to the vector-valued real range. A Fuzzy ARTMAP (FAM) architecture ...
A Modified Fuzzy ARTMAP Architecture for Incremental Learning Function Approximation Razvan Andonie Department of Electronics and Computers Transylvania ...
A modified fuzzy ARTMAP architecture for the approximation of noisy mappings.
Abstract. In this paper, several modifications to the Fuzzy ARTMAP neural network architecture are proposed for conducting classification in complex,.
A new ARTMAP-based neural network for incremental learning
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This paper presents a new approach to incrementally constructing a neural network that is capable of learning new information without forgetting old ...