Types Adaptive resonance theory

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artmap overview


artmap known predictive art, combines 2 modified art-1 or art-2 units supervised learning structure first unit takes input data , second unit takes correct output data, used make minimum possible adjustment of vigilance parameter in first unit in order make correct classification.


fuzzy art implements fuzzy logic art’s pattern recognition, enhancing generalizability. optional (and useful) feature of fuzzy art complement coding, means of incorporating absence of features pattern classifications, goes long way towards preventing inefficient , unnecessary category proliferation. applied similarity measures based on l1 norm. fuzzy art known sensitive noise.


fuzzy artmap merely artmap using fuzzy art units, resulting in corresponding increase in efficacy.


simplified fuzzy artmap (sfam) constitutes simplified variant of fuzzy artmap dedicated classification tasks.


gaussian art , gaussian artmap use gaussian activation functions , computations based on probability theory. therefore, have similarity gaussian mixture models. in comparison fuzzy art , fuzzy artmap, less sensitive noise. stability of learnt representations reduced may lead category proliferation in open-ended learning tasks.


fusion art , related networks extend art , artmap multiple pattern channels. support several learning paradigms.


topoart combines fuzzy art topology learning networks such growing neural gas. furthermore, adds noise reduction mechanism. there several derived neural networks extend topoart further learning paradigms.


hypersphere art , hypersphere artmap closely related fuzzy art , fuzzy artmap, respectively. use different type of category representation (namely hyperspheres), not require input normalised interval [0, 1]. apply similarity measures based on l2 norm.


lapartthe laterally primed adaptive resonance theory (lapart) neural networks couple 2 fuzzy art algorithms create mechanism making predictions based on learned associations. coupling of 2 fuzzy arts has unique stability allows system converge rapidly towards clear solution. additionally, can perform logical inference , supervised learning similar fuzzy artmap.








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