A notable swarm approach to evolve neural network for classification in data mining

Satchidananda Dehuri, Bijan Bihari Mishra, Sung Bae Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a novel and notable swarm approach to evolve an optimal set of weights and architecture of a neural network for classification in data mining. In a distributed environment the proposed approach generates randomly multiple architectures competing with each other while fine-tuning their architectural loopholes to generate an optimum model with maximum classification accuracy. Aiming at better generalization ability, we analyze the use of particle swarm optimization (PSO) to evolve an optimal architecture with high classification accuracy. Experiments performed on benchmark datasets show that the performance of the proposed approach has good classification accuracy and generalization ability. Further, a comparative performance of the proposed model with other competing models is given to show its effectiveness in terms of classification accuracy.

Original languageEnglish
Title of host publicationAdvances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
Pages1121-1128
Number of pages8
EditionPART 1
DOIs
Publication statusPublished - 2009 Sep 21
Event15th International Conference on Neuro-Information Processing, ICONIP 2008 - Auckland, New Zealand
Duration: 2008 Nov 252008 Nov 28

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5506 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other15th International Conference on Neuro-Information Processing, ICONIP 2008
CountryNew Zealand
CityAuckland
Period08/11/2508/11/28

Fingerprint

Swarm
Data mining
Data Mining
Neural Networks
Neural networks
Distributed Environment
Particle swarm optimization (PSO)
Particle Swarm Optimization
Tuning
Model
Benchmark
Architecture
Experiment
Experiments
Generalization

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Dehuri, S., Mishra, B. B., & Cho, S. B. (2009). A notable swarm approach to evolve neural network for classification in data mining. In Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers (PART 1 ed., pp. 1121-1128). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5506 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-02490-0_136
Dehuri, Satchidananda ; Mishra, Bijan Bihari ; Cho, Sung Bae. / A notable swarm approach to evolve neural network for classification in data mining. Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 1. ed. 2009. pp. 1121-1128 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).
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Dehuri, S, Mishra, BB & Cho, SB 2009, A notable swarm approach to evolve neural network for classification in data mining. in Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5506 LNCS, pp. 1121-1128, 15th International Conference on Neuro-Information Processing, ICONIP 2008, Auckland, New Zealand, 08/11/25. https://doi.org/10.1007/978-3-642-02490-0_136

A notable swarm approach to evolve neural network for classification in data mining. / Dehuri, Satchidananda; Mishra, Bijan Bihari; Cho, Sung Bae.

Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 1. ed. 2009. p. 1121-1128 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5506 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Dehuri S, Mishra BB, Cho SB. A notable swarm approach to evolve neural network for classification in data mining. In Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers. PART 1 ed. 2009. p. 1121-1128. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-02490-0_136