Fifth International Conference on Hybrid Intelligent Systems (HIS'05) Rough Approximation based Neuro Fuzzy Inference System: A novel approach to Approximation and Error Estimation Rio de Janeiro, Brazil December 06-December 09 ISBN: 0-7695-2457-5
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICHIS.2005.96
The paper presents a new hybridization methodology involving Neural, Fuzzy and Rough Computing. A Rough Sets based approximation technique has been proposed based on a certain Neuro - Fuzzy architecture. A New Rough Neuron composition consisting of a combination of a Lower Bound neuron and a Boundary neuron has been presented. The conventional convergence of error in back propagation has been given away for a new framework based on ?Output Excitation Factor? and an inverse input transfer function. The paper also presents a brief comparison of performances based on which It can be observed that the proposed architecture is superior to its counterparts.
Citation:
Sandeep Chandana, Rene V. Mayorga, "Rough Approximation based Neuro Fuzzy Inference System: A novel approach to Approximation and Error Estimation," his, pp.518-520, Fifth International Conference on Hybrid Intelligent Systems (HIS'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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