A regularized line search tunneling for efficient neural network learning

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

Volumn 3173, Issue , 2004, Pages 239-243

  Lee, Dae Won ^a   Choi, Hyung Jun ^a   Lee, Jaewook ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING;

GENERALIZATION PROPERTIES; LINE SEARCHES; LOCAL MINIMA PROBLEMS; LOCAL MINIMUMS; NEURAL NETWORK LEARNING; TRAINING ALGORITHMS; TRAINING ERRORS; TRAINING NETWORK;

ALGORITHMS;

EID: 24944568603     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28647-9_41     Document Type: Article

References (5)

1. Barben, J., Protopopescu, V., Reister, D.: TRUST: A Deterministic Algorithm for Global Optimization. Science, Vol. 276 (1997) 1094-1097
2. Foresee, F.D., Hagan, M.T.: Gauss-Newton Approximation to Bayesian Regularization. In Procedeengs, International Joint Conference on Neural Networks (1997) 1930-1935
3. Nocedal, J., Wright, S.J.: Numerical Optimization. Springer, New York (1999)
4. Haykin, S.: Neural Networks: A Comprehensive Foundation. Prentice-Hall, New York (1999)
5. Singh, Y.P., Roychowdhury, P.: Dynamic Tunneling Based Regularization in Feedforward Neural Networks. Artificial Intelligence, Vol. 131 (2001) 55-71