Sensitivity analysis of radial basis function networks for fault tolerance purposes

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

Volumn 1606, Issue , 1999, Pages 566-572

  Parra, Xavier ^a   Català, Andreu ^a  

^a UNIVERSITAT POLITÈCNICA DE CATALUNYA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

FAULT TOLERANCE; FUNCTIONS; SENSITIVITY ANALYSIS;

APPROXIMATION PROBLEMS; FAULTY ELEMENTS; NEURAL ELEMENT; PERFORMANCE ERROR; SELECTION METHODS; SYSTEM FAULT TOLERANCE;

RADIAL BASIS FUNCTION NETWORKS;

EID: 84957692004     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0098214     Document Type: Conference Paper

References (8)

1. Deif, A.: Sensitivity Analysis in Linear Systems. Springer-Verlag, Berlin Heidelberg New York (1986)
2. Murray, A.F., Edwards, P.J.: Synaptic weight noise during MLP training. Enhanced MLP performance and fault tolerance resulting from synaptic weight noise during training. In: IEEE Transactions on Neural Networks, 5(5) (1994) 792-802
3. Segee, B.E., Carter, M.J.: Comparative Fault Tolerance of Parallel Distributed Processing Networks. IEEE Transactions on Computers, 43 (11) (1994) 1323-1329
4. Catalh, A., Parra, X.: Fault Tolerance Parameter Model of Radial Basis Function Networks. Proceedings of the IEEE International Conference on Neural Networks, 2 (1996) 1384-1389
5. thedn. Addison-Wesley Publishing Company (1995)
6. Prechelt, L.: PROBEN1 Neural Network Benchmark Problems. Anonymous FTP from the ftp.ira.uka.deindirectory/pub/neuron
7. Prechelt, L.: PROBEN1 - Set of Neural Network Benchmark Problems and Benchmarking Rules. Technical Report 21/94, Department of Informatics, University of Karlsruhe (1994)
8. Orr, M.J.L.: Regularisation in the Selection of Radial Basis Function Centres. Neural Computation, 7(3):606-623 (1995)