A neural network structure evolution algorithm based on e, m Projections and model selection criterion

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

Volumn 3971 LNCS, Issue , 2006, Pages 732-738

  Liu, Yunhui ^a   Luo, Siwei ^a   Lv, Ziang ^a   Huang, Hua ^a  

^a BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; CELLS; CONFORMATIONS; DENDRIMERS; NEURAL NETWORKS; NEUROLOGY; PHYSIOLOGY;

EVOLUTION ALGORITHM; INFORMATION GEOMETRY; NEURAL NETWORK STRUCTURE; PHYSIOLOGICAL GROWING PROCESS;

ALGORITHMS;

EID: 33745911284     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11759966_107     Document Type: Conference Paper

References (8)

1. Rosemary, A. R.: Cognitive Development: Psychological and Biological Perspectives. Allyn & Bacon, Boston MA (1994)
2. Kalat, J.W.: Introduction to Psychology. 4th edn. Brooks/Cole Publ. Co., Pacific Grove (1996)
3. Amari, S.: Differential-geometrical Method in Statistics: Lecture Notes in Statistics. Springer - Verlag, Berlin Heidelberg (1985)
4. Amari, S.: Information Geometry on Hierarchy of Probability Distributions. IEEE Trans. Information Theory 47(5) (2001) 1701-1711
5. Liu, Y.H., Luo, S.W.: Information Geometric Analysis of Neural Network Pruning. Journal of Computer Research and Development (to be Published) (2006)
6. Akaike, H.: Information Theory and an Extension of the Maximum Likelihood Principle. In Petrov, B. N., Csaki, F. (eds.): 2nd Int. Symposium on Info. Theory, Budapest (1973) 267-281
7. Heckerman, D., Chickering, D.: A Comparison of Scientific and Engineering Criteria for Bayesian Model Selection. Statistics and Computing 10(1) (2000) 55-62
8. Barron, A. R., Rissanen, J., Yu, B.: The Minimum Description Length Principle in Coding and Modeling. IEEE Trans. Information Theory 44(6) (1998) 2743-2760