Hierarchical radial basis function neural networks for classification problems

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

Volumn 3971 LNCS, Issue , 2006, Pages 873-879

  Chen, Yuehui ^a   Peng, Lizhi ^a   Abraham, Ajith ^a,b  

^a UNIVERSITY OF JINAN   (China)

^b Chung Ang University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); EVOLUTIONARY ALGORITHMS; HIERARCHICAL SYSTEMS; OPTIMIZATION; PROBLEM SOLVING; RADIAL BASIS FUNCTION NETWORKS; TREES (MATHEMATICS);

HRBF STRUCTURE; INPUT VARIABLES; PARTICLE SWARM OPTIMIZATION; SUB-RBF NEURAL NETWORKS;

NEURAL NETWORKS;

EID: 33745898495     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11759966_128     Document Type: Conference Paper

References (12)

1. Ohno-Machado, L.: Medical Applications of Artificial Neural Networks: Connectionist Model of Survival. Ph.D. Dissertation. Stanford University (1996)
2. Erenshteyn, R., Laskov, P.: A Multi-Stage Approach to Fingerspelling and Gesture Recognition. In Proc. of the Workshop on the Integration of Gesture in Language and Speece (1996) 185-194
3. Mat Isa, N.A., Mashor, M. Y., Othman, N. H.: Diagnosis of Cervical Cancer using Hierarchical Radial Basis Function (HiRBF) Network. In Proc. of the Int. Conf. on Artificial Intelligence in Engineering and Technology (2002) 458-463
4. Ferrari, S., Maggioni, M., Alberto Borghese, N.: Multiscale Approximation with Hierarchical Radial Basis Functions Networks. IEEE Trans. on Neural Netw. 15(1)(2004)178-188
5. Ferrari, S., Frosio, I., Piuri, V., Alberto Borghese, N.: Automatic Multiscale Meshing Through HRBF Networks. IEEE Trans. on Instrument and Measurement 54(4) (2005) 1463-1470
6. Chen, Y., Yang B., Dong, J.: Nonlinear System Modeling via Optimal Design of Neural Trees. Int. J. of Neural Systems 14(2) (2004) 125-137
7. Chen, Y., Yang, B., Dong, J., Abraham, A.: Time-Series Forecasting using Flexible Neural Tree Model. Information Science 174(3-4) (2005) 219-235
8. Chen, Y., Yang, B., Dong, J.: Automatic Design of Hierarchical TS-FS Models using Ant Programming and PSO algorithm. Lecture Notes in Computer Science, Vol. 3516, Springer-Verlag, Berlin Heidelberg New York (2004) 285-294
9. Sastry K., Goldberg, D.E.: Probabilistic Model Building and Competent Genetic Programming. In Genetic Programming Theory and Practise, Chapter 13 (2003) 205-220
10. Ishibuchi, H.,.Murata, T., Turksen, I.E.: Single-Objective and Two-Objective Genetic Algorithms for Selecting Linguistic Rules for Pattern Classification Problems. Fuzzy Sets Syst. 89 (1997) 135-150
11. Anderson, E.: The Irises of the Gaspe Peninsula. Bull. Amer, Iris Soc. 59 (1935) 2-5
12. Oyang, Y.J., Hwang, S.C., Ou, Y.Y., Chen, C.Y.: Data Classification with the Radial Basis Function Network Based on a Novel Kernel Density Estimation Algorithm. IEEE Trans. on Neural Networks (2005) 225-236