Cascade evolutionary neural network with neo-fuzzy-neurons as nodes
DOI:
https://doi.org/10.15587/1729-4061.2011.1377Keywords:
Neo-fuzzy-neuron, cascade, network, approximationAbstract
This article represents a general picture of the evolutionary neural networks and a short overview of existing architectures. The advantages of the neo-fuzzy-neurons and evolutionary neural networks based on them described below and compared with cascade-correlation architecture of Fahlman-LebiereReferences
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- Bodyanskiy Ye., Kokshenev I., Kolodyazhniy V. An adaptive learning algorithm for a neo-fuzzy neuron // Proc. 3rd Int. Conf. of European Union Soc. for Fuzzy Logic and Technology (EUSFLAT 2003). – Zittau, Germany, 2003. – P. 375–379.
- Prechelt L. Investigation of the CasCor family of learning algorithms // Neural Networks. – 1997. – Т.10, №5. – P. 885–896.
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Copyright (c) 2014 Евгений Владимирович Бодянский, Валентина Владимировна Волкова, Сергей Дмитриевич Громов
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