Integrating feedforward and feedback neural networks for optimisation

Intelligent Engineering Systems Through Artificial Neural Networks

Volumn 1998, Issue , 1998, Pages 69-74

  Smith, Kate A ^a   Gupta, Jatinder N D ^b  

^a MONASH UNIVERSITY   (Australia)

^b BALL STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTION OPTIMIZATION; QUADRATIC FUNCTIONS;

FEEDFORWARD NEURAL NETWORKS; FUNCTIONS; PROBLEM SOLVING; RECURRENT NEURAL NETWORKS;

OPTIMIZATION;

EID: 0032298373     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (6)

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2. R. Durbin and D. Willshaw, "An analogue approach to the travelling salesman problem using an elastic net method", Nature, vol. 326, pp. 689-691, 1987.
3. K. Smith, "Neural Networks for Combinatorial Optimisation: a review of more than a decade of research", to appear INFORMS Journal on Computing.
4. K. Smith, M. Palaniswami and M. Krishnamoorthy, "Neural Techniques for Combinatorial Optimisation with Applications", to appear IEEE Transactions on Neural Networks.
5. K. Hornik, M. Stinchcombe and H. White, "Multilayer feedforward networks are universal approximators", Neural Networks, vol. 2, pp. 359-366, 1989.
6. A. R. Barron, "Universal approximation bounds for superpositions of a sigmoidal function", IEEE Transactions on Information Theory, vol. 39, pp. 359-366, 1989.