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Volumn 204 CCIS, Issue , 2011, Pages 384-391

Enhanced classification performance using computational intelligence

Author keywords

Backpropagation Neural Network; Computational intelligence; dynamic learning rate; Modified Genetic Search Algorithm

Indexed keywords

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION NEURAL NETWORKS; CLASSIFICATION PERFORMANCE; COMPUTATIONAL INTELLIGENCE TECHNIQUES; DIABETES PATIENTS; DYNAMIC BACKPROPAGATION; DYNAMIC LEARNING RATES; GENETIC SEARCH ALGORITHMS; LEARNING RATES; PERFORMANCE OF CLASSIFIER; SEARCH SPACES; SYNERGISTIC COMBINATIONS; TRAINING PURPOSE;

EID: 80054859093     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-24043-0_39     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 4
    • 80054875071 scopus 로고    scopus 로고
    • Kohavi, Provost (1998), http://www2.cs.uregina.ca/~hamilton/courses/831/ notes/confus ion-matrix/confusion-matrix.html
    • (1998) Kohavi, Provost
  • 6
    • 34249297640 scopus 로고    scopus 로고
    • The uniform correlation matrix and its application to diversity
    • Mallik, R. K.: The Uniform Correlation Matrix and its Application to Diversity. IEEE Transactions on Wireless Communications 6(5), 1619-1625 (2007)
    • (2007) IEEE Transactions on Wireless Communications , vol.6 , Issue.5 , pp. 1619-1625
    • Mallik, R.K.1
  • 8
    • 33845291491 scopus 로고    scopus 로고
    • Improving generalization performance of artificial neural networks with genetic algorithm
    • Wu, J., Liu, M.: Improving Generalization Performance of Artificial Neural Networks with Genetic Algorithm. In: 2005 IEEE International Conference on Granular Computing, vol. 1, pp. 288-291 (2005)
    • (2005) 2005 IEEE International Conference on Granular Computing , vol.1 , pp. 288-291
    • Wu, J.1    Liu, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.