Neuro-Fuzzy Classification
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © - April Issue 2013 by IJCTT Journal | ||
| Volume-4 Issue-4 | ||
| Year of Publication : 2013 | ||
| Authors : Shwetali Hiwarkar, Jyoti Yadav, Reena Nair, Reshma Nair |
Shwetali Hiwarkar, Jyoti Yadav, Reena Nair, Reshma Nair "Neuro-Fuzzy Classification"International Journal of Computer Trends and Technology (IJCTT),V4(4):693-695 April Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
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
References-
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[2] Robert Fuller(2001): Neuro-Fuzzy Methods for Modelling & Fault Diagnosis
[3] A Short Fuzzy Logic Tutorial(2010)
[4] RC Chakraborty(2010):Fuzzy Set Theory
[5] Prof. Leslie Smith Centre for Cognitive and Computational Neuroscience(2001): An Intoduction to Neural Network.
Keywords — Neural Network, Fuzzy Logic, Classification, Fuzzification, Multi-Layer Perceptron, Defuzzification, KIA .