FUZZY SWARM NET (FSN) FOR CLASSIFICATION IN DATA MINING

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BIHARI MISRA BIJAN; DEHURI SATCHIDANANDA; PANDA GANAPATI; DASH PRADIPTA KISHORE

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Paper Information

Journal: THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING Year:2008 | Volume:5 | Issue:2-4 (B) Page(s): 1-8

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Information Journal Paper

Title

FUZZY SWARM NET (FSN) FOR CLASSIFICATION IN DATA MINING

Author(s)

BIHARI MISRA BIJAN | DEHURI SATCHIDANANDA | PANDA GANAPATI | DASH PRADIPTA KISHORE | Issue Writer Certificate

Keywords

FUZZY NETQ3

MULTI-LAYER PERCEPTRONQ4

PARTICLE SWARM OPTIMIZATIONQ3

CLASSIFICATIONQ4

DATA MININGQ1

RADIAL BASIS NEURAL NETWORKQ4

Abstract

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 REF and a competitive result with MLP.

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APA: Copy

BIHARI MISRA, BIJAN, DEHURI, SATCHIDANANDA, PANDA, GANAPATI, & DASH, PRADIPTA KISHORE. (2008). FUZZY SWARM NET (FSN) FOR CLASSIFICATION IN DATA MINING. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, 5(2-4 (B)), 1-8. SID. https://sid.ir/paper/70713/en

Vancouver: Copy

BIHARI MISRA BIJAN, DEHURI SATCHIDANANDA, PANDA GANAPATI, DASH PRADIPTA KISHORE. FUZZY SWARM NET (FSN) FOR CLASSIFICATION IN DATA MINING. THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING[Internet]. 2008;5(2-4 (B)):1-8. Available from: https://sid.ir/paper/70713/en

IEEE: Copy

BIJAN BIHARI MISRA, SATCHIDANANDA DEHURI, GANAPATI PANDA, and PRADIPTA KISHORE DASH, “FUZZY SWARM NET (FSN) FOR CLASSIFICATION IN DATA MINING,” THE CSI JOURNAL ON COMPUTER SCIENCE AND ENGINEERING, vol. 5, no. 2-4 (B), pp. 1–8, 2008, [Online]. Available: https://sid.ir/paper/70713/en

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