In this paper, we have used a fuzzy net trained by the particle swarm optimization (PSO) technique for classification task of data mining. Fuzzy net uses a single layer neural network to reduce the complexities associated with multi-layer perceptron (MLP). In addition, we trained the network by using PSO to obtain optimal weight vectors, which reduces the problem of being trapped into a local minimum. From the simulation study, it is observed that the fuzzy swarm net (FSN) gives a promising result. Further, we compared the result obtained from FSN with multi-layer perceptron (MLP) radial basis function (RBF). The results obtained from FSN draws a clear edge between FSN and RBF and a competitive result with MLP.
Bihari Misra,B. , Dehuri,S. , Panda,G. and Kishore Dash,P. (2008). Fuzzy Swarm Net (FSN) for Classification in Data Mining. (e215997). The CSI Journal on Computer Science and Engineering, 5(2), e215997
MLA
Bihari Misra,B. , , Dehuri,S. , , Panda,G. , and Kishore Dash,P. . "Fuzzy Swarm Net (FSN) for Classification in Data Mining" .e215997 , The CSI Journal on Computer Science and Engineering, 5, 2, 2008, e215997.
HARVARD
Bihari Misra B., Dehuri S., Panda G., Kishore Dash P. (2008). 'Fuzzy Swarm Net (FSN) for Classification in Data Mining', The CSI Journal on Computer Science and Engineering, 5(2), e215997.
CHICAGO
B. Bihari Misra, S. Dehuri, G. Panda and P. Kishore Dash, "Fuzzy Swarm Net (FSN) for Classification in Data Mining," The CSI Journal on Computer Science and Engineering, 5 2 (2008): e215997,
VANCOUVER
Bihari Misra B., Dehuri S., Panda G., Kishore Dash P. Fuzzy Swarm Net (FSN) for Classification in Data Mining. CSIonJCSE, 2008; 5(2): e215997.
The CSI Journal on Computer Science and Engineering