Synthesis of fault tolerant neural networks

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2002, Pages 1475-1480

  Phatak, Dhananjay S ^a   Tchernev, Elko ^a  

^a UNIVERSITY OF MARYLAND BALTIMORE COUNTY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; FAULT TOLERANT COMPUTER SYSTEMS; OPTIMIZATION; PROBABILITY; STRATEGIC PLANNING;

FAULT TOLERANT NEURAL NETWORKS; FEEDFORWARD ARTIFICIAL NEURAL NETWORKS;

FEEDFORWARD NEURAL NETWORKS;

EID: 0036085911     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Fault tolerance in artificial neural networks
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3. Fault tolerance of pruned multilayer networks
4. Comparative fault tolerance of parallel distributed processing networks
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6. Fault tolerance of feedforward neural nets for classification tasks
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8. Fault tolerance of feed-forward artificial neural nets and synthesis of robust nets
9. Enhanced MLP performance and fault tolerance resulting from synaptic weight noise during training
10. Complete and partial fault tolerance of feedforward neural nets
11. Training with noise is equivalent to Tikhonov regularization
12. Fault tolerant artificial neural networks
13. Relationship between fault tolerance, generalization and the Vapnik-Chervonenkis (VC) dimension of feedforward ANNs
14. Analysis of hidden units in a layered network trained to classify sonar targets