TY - GEN
T1 - A notable swarm approach to evolve neural network for classification in data mining
AU - Dehuri, Satchidananda
AU - Mishra, Bijan Bihari
AU - Cho, Sung Bae
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=70349114219&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70349114219&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-02490-0_136
DO - 10.1007/978-3-642-02490-0_136
M3 - Conference contribution
AN - SCOPUS:70349114219
SN - 3642024890
SN - 9783642024894
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1121
EP - 1128
BT - Advances in Neuro-Information Processing - 15th International Conference, ICONIP 2008, Revised Selected Papers
T2 - 15th International Conference on Neuro-Information Processing, ICONIP 2008
Y2 - 25 November 2008 through 28 November 2008
ER -