메뉴 건너뛰기




Volumn 1, Issue , 2006, Pages 947-948

Alternative cross-over strategies and selection techniques for grammatical evolution optimized neural networks

Author keywords

Crossover; Grammatical evolution; Neural networks; Selection

Indexed keywords


EID: 33750264434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143997.1144163     Document Type: Conference Paper
Times cited : (11)

References (2)
  • 2
    • 0002612450 scopus 로고    scopus 로고
    • Application of genetic algorithms to the discovery of complex models for simulation studies in human genetics
    • Langdon, WB, Cantu-Paz, E, Mathias, K, Roy, R, Davis, D, Poli, R, Balakrishnan, K, Honavar, V, Rudolph, G, Wegener, J, Bull, L, Potter, MA, Schultz, AC, Miller, JF, Burke, E, and Jonoska, N. San Francisco, Morgan Kaufman Publishers
    • Moore J, Hahn L, Ritchie M, Thornton T, White B. Application of genetic algorithms to the discovery of complex models for simulation studies in human genetics. Langdon, WB, Cantu-Paz, E, Mathias, K, Roy, R, Davis, D, Poli, R, Balakrishnan, K, Honavar, V, Rudolph, G, Wegener, J, Bull, L, Potter, MA, Schultz, AC, Miller, JF, Burke, E, and Jonoska, N. Proceedings of the Genetic and Evolutionary Algorithm Conference. 1150-1155. 2002. San Francisco, Morgan Kaufman Publishers.
    • (2002) Proceedings of the Genetic and Evolutionary Algorithm Conference , pp. 1150-1155
    • Moore, J.1    Hahn, L.2    Ritchie, M.3    Thornton, T.4    White, B.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.