Growing nonuniform feedforward networks for continuous mappings

Neurocomputing

Volumn 10, Issue 1, 1996, Pages 55-69

  Vinod, V V ^a   Ghose, S ^b  

^a Power Electronics Group   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Greedy algorithm; Network growing; Nonuniform feedforward networks; Real valued continuous mappings

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS;

GREEDY ALGORITHM; NETWORK GROWING; NONUNIFORM FEEDFORWARD NETWORKS; REAL VALUED CONTINUOUS MAPPINGS;

FEEDFORWARD NEURAL NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; PRIORITY JOURNAL;

EID: 0030031321     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/0925-2312(95)00024-0     Document Type: Article

References (9)

1. T. Ash, Dynamic node creation in backpropagation networks, Connection Sci. 1(4) (1989) 365-375.
2. P. Burrascano A norm selection criterion for generalized delta rule, IEEE Trans. Neural Networks 2(1) (1991) 125-130.
3. M.A. Fanty, Learning in structured connectionist networks, Ph.D thesis, University of Rochester, April 1988.
4. J. Hertz, A. Krotgh and R.G. Palmer, Introduction to the Theory of Neural Computation. (Addison-Wesley, 1991).
5. M. Mezard and J.P. Nadal, Learning in feedforward layered networks: The tiling algorithm J. Physics A: Math. Gen. 22 (1989) 2191-2203.
6. L.A. Pipes and L.R. Harvil, Applied Mathematics for Engineers and Physicists (McGraw Hill Kogakusha, 1970).
7. D.E. Rumelhart and J.L. McClelland, Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol I: Foundations (MIT Press, 1986).
8. T.D. Sanger, A tree structured adaptive network for function approximation in high dimensional spaces, IEEE Trans. Neural Networks 2(2) (Mar. 1991).
9. S.E. Fahlman and C. Lebiere, The cascade correlation architecture, in: Advances in Neural Information Processing Systems II (Denver 1989), ed. D.S. Touretzky (San Mateo, Morgan Kaufmann, 1990) 524-532.