메뉴 건너뛰기




Volumn 36, Issue 3, 2004, Pages 283-296

Simultaneous optimization of neural network function and architecture algorithm

Author keywords

Artificial intelligence; Backpropagation; Genetic algorithm; Neural networks; Parsimonious

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; DECISION MAKING; DECISION SUPPORT SYSTEMS; GENETIC ALGORITHMS; MONTE CARLO METHODS; MULTILAYER NEURAL NETWORKS;

EID: 0344585403     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9236(02)00147-1     Document Type: Article
Times cited : (34)

References (26)
  • 1
    • 0001160588 scopus 로고
    • What size net gives valid generalization?
    • Baum E.B., Haussler D. What size net gives valid generalization? Neural Computation. 1:1989;151-160.
    • (1989) Neural Computation , vol.1 , pp. 151-160
    • Baum, E.B.1    Haussler, D.2
  • 2
    • 0345706091 scopus 로고
    • Optimisation of the architecture of feed-forward neural nets with hidden layers by unit elimination
    • Burkitt A.N. Optimisation of the architecture of feed-forward neural nets with hidden layers by unit elimination. Complex Systems. 5:1991;371-380.
    • (1991) Complex Systems , vol.5 , pp. 371-380
    • Burkitt, A.N.1
  • 3
    • 84984507941 scopus 로고
    • On tests for non-linearity in time series analysis
    • Chan W.S., Tong H. On tests for non-linearity in time series analysis. Journal of Forecasting. 5:1986;217-228.
    • (1986) Journal of Forecasting , vol.5 , pp. 217-228
    • Chan, W.S.1    Tong, H.2
  • 6
    • 85138964246 scopus 로고    scopus 로고
    • Evolution of Dynamic Reconfigurable Neural Networks: Energy Surface Optimality Using Genetic Algorithms
    • D.S. Levine, & W.R. Elsberry. Hillsdale, NJ: Lawrence Erlbaum Associates
    • Dorsey R.E., Johnson J.D. Evolution of Dynamic Reconfigurable Neural Networks: Energy Surface Optimality Using Genetic Algorithms. Levine D.S., Elsberry W.R. Optimality in Biological and Artificial Networks. 1997;185-202 Lawrence Erlbaum Associates, Hillsdale, NJ.
    • (1997) Optimality in Biological and Artificial Networks , pp. 185-202
    • Dorsey, R.E.1    Johnson, J.D.2
  • 7
    • 84952507313 scopus 로고
    • Genetic algorithms for estimation problems with multiple optima, non-differentiability, and other irregular features
    • Dorsey R.E., Mayer W.J. Genetic algorithms for estimation problems with multiple optima, non-differentiability, and other irregular features. Journal of Business and Economic Statistics. 13(1):1995;53-66.
    • (1995) Journal of Business and Economic Statistics , vol.13 , Issue.1 , pp. 53-66
    • Dorsey, R.E.1    Mayer, W.J.2
  • 9
    • 0002716457 scopus 로고
    • The use of artificial neural networks for estimation of decision surfaces in first price sealed bid auctions
    • W.W. Cooper, & A.B. Whinston. Netherlands: Kluwer Academic Publishing
    • Dorsey R.E., Johnson J.D., Van Boening M.V. The use of artificial neural networks for estimation of decision surfaces in first price sealed bid auctions. Cooper W.W., Whinston A.B. New Direction in Computational Economics. 1994;19-40 Kluwer Academic Publishing, Netherlands.
    • (1994) New Direction in Computational Economics , pp. 19-40
    • Dorsey, R.E.1    Johnson, J.D.2    Van Boening, M.V.3
  • 10
    • 0026953305 scopus 로고
    • Improving generalisation performance using double backpropagation
    • Drucker H., LeCun Y. Improving generalisation performance using double backpropagation. IEEE Transactions on Neural Networks. 3:1992;991-997.
    • (1992) IEEE Transactions on Neural Networks , vol.3 , pp. 991-997
    • Drucker, H.1    Lecun, Y.2
  • 12
    • 0029326675 scopus 로고
    • A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems
    • Fogel D.B. A comparison of evolutionary programming and genetic algorithms on selected constrained optimization problems. Simulation. 64(6):1995;399-406.
    • (1995) Simulation , vol.64 , Issue.6 , pp. 399-406
    • Fogel, D.B.1
  • 13
    • 0345706090 scopus 로고
    • Internal representation with minimum entropy in recurrent neural networks: Minimizing entropy through inhibitory connections
    • Kamimura R. Internal representation with minimum entropy in recurrent neural networks: minimizing entropy through inhibitory connections. Network Computation in Neural Systems. 4:1993;423-440.
    • (1993) Network Computation in Neural Systems , vol.4 , pp. 423-440
    • Kamimura, R.1
  • 14
    • 0025447562 scopus 로고
    • A simple procedure for pruning back-propagation trained networks
    • Karmin E.D. A simple procedure for pruning back-propagation trained networks. IEEE Transactions on Neural Networks. 1:1990;239-242.
    • (1990) IEEE Transactions on Neural Networks , vol.1 , pp. 239-242
    • Karmin, E.D.1
  • 16
    • 0025530487 scopus 로고
    • Improved generalization in ANN's via use of conceptual graphs: A character recognition task as an example case
    • Piscataway, NJ: IEEE
    • Lendaris G.G., Harls I.A. Improved generalization in ANN's via use of conceptual graphs: A character recognition task as an example case. Proceedings IJCNN-90. 1990;551-556 IEEE, Piscataway, NJ.
    • (1990) Proceedings IJCNN-90 , pp. 551-556
    • Lendaris, G.G.1    Harls, I.A.2
  • 19
    • 0029754431 scopus 로고    scopus 로고
    • The dependence identification neural network construction algorithm
    • Moody J.O., Antsaklis P.J. The dependence identification neural network construction algorithm. IEEE Transactions on Neural Networks. 7(1):1996;3-15.
    • (1996) IEEE Transactions on Neural Networks , vol.7 , Issue.1 , pp. 3-15
    • Moody, J.O.1    Antsaklis, P.J.2
  • 20
    • 0042411671 scopus 로고
    • A study of experimental evaluations of neural network learning algorithm: Current research practice
    • Fakultat fur Informatik, Universitat Karlsruhe, D-76128 Karsruhe, Germany. Anonymous on ftp.ira.uka.de
    • L. Prechelt, A study of experimental evaluations of neural network learning algorithm: Current research practice, Technical Report 19/94, Fakultat fur Informatik, Universitat Karlsruhe, D-76128 Karsruhe, Germany. Anonymous FTP:/pub/papers/techreports/1994/1994-19.ps.Z on ftp.ira.uka.de, 1994.
    • (1994) Technical Report , vol.19
    • Prechelt, L.1
  • 23
    • 0031999703 scopus 로고    scopus 로고
    • Toward a global optimum for neural networks: A comparison of the genetic algorithm and backpropagation
    • Sexton R.S., Dorsey R.E., Johnson J.D. Toward a global optimum for neural networks: a comparison of the genetic algorithm and backpropagation. Decision Support Systems. 22:1998;171-185.
    • (1998) Decision Support Systems , vol.22 , pp. 171-185
    • Sexton, R.S.1    Dorsey, R.E.2    Johnson, J.D.3
  • 25
    • 0033130747 scopus 로고    scopus 로고
    • Optimization of neural networks: A comparative analysis of the genetic algorithm and simulated annealing
    • Sexton R.S., Dorsey R.E., Johnson J.D. Optimization of neural networks: a comparative analysis of the genetic algorithm and simulated annealing. European Journal of Operational Research. 114:1999;589-601.
    • (1999) European Journal of Operational Research , vol.114 , pp. 589-601
    • Sexton, R.S.1    Dorsey, R.E.2    Johnson, J.D.3
  • 26
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • Yao X. Evolving artificial neural networks. Proceedings of the IEEE. 87(9):1999;1423-1447.
    • (1999) Proceedings of the IEEE , vol.87 , Issue.9 , pp. 1423-1447
    • Yao, X.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.