A hybrid particle swarm algorithm for the structure and parameters optimization of feed-forward neural network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4493 LNCS, Issue PART 3, 2007, Pages 213-218

  Tang, Xian Lun ^a   Li, Yin Guo ^a   Zhuang, Ling ^a  

^a CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FAILURE ANALYSIS; GENETIC ALGORITHMS; PARAMETER ESTIMATION; TOPOLOGY;

CONNECTION WEIGHTS; DIAGNOSIS CAPACITY; PROPOSED ALGORITHM;

NEURAL NETWORKS;

EID: 38049123335     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (5)

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2. Kennedy, J., Eberhart, R.C.: Particle Swarm Optimization Proc. IEEE Service Center ed. IEEE International Conference on Neural Networks, Perth, Australia, 1995.Piscataway: IEEE Press (1995) 1942-1948
3. th Triennial World Congress, Barcelona, Spain (2002)
4. Parsopoulos, K., Vrahatis, M.: Recent Approaches to Global Optimization Problems Through Particle Swarm Optimization. Natural Computing 1(2-3) (2002) 235-306
5. Kennedy, J., Eberhart, R. C.: A Discrete Binary Version of the Particle Swarm Algorithm. Proc. of the 1997 Conf. on Systems, Man, and Cybernetics. Piscataway: IEEE Press (1997) 4104-4108