International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 4 | Issue 4 | Year 2013 | Article Id. IJCTT-V4I4P150 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I4P150

Neuro-Fuzzy Classification

Shwetali Hiwarkar, Jyoti Yadav, Reena Nair, Reshma Nair

Citation :

Shwetali Hiwarkar, Jyoti Yadav, Reena Nair, Reshma Nair, "Neuro-Fuzzy Classification," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 4, pp. 693-695, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I4P150

Abstract

The system proposed in this paper is the implementation of the neuro-fuzzy classification system. Feature wise degree of belonging of patterns to all the classes are obtained using fuzzification process. A fuzzification process will generate a membership matrix having elements equal to product of classes and features in the dataset. This matrx is then given as input to NN. Classification accuracy and KIA is used for performance measurement.The proposed system learns well even with lower percentage of training data that makes the system faster

Keywords

Neural Network, Fuzzy Logic, Classification, Fuzzification, Multi-Layer Perceptron, Defuzzification, KIA .

References

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[5]  Prof. Leslie Smith Centre for Cognitive and Computational Neuroscience(2001): An Intoduction to Neural Network.