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Batch-mode identification of black-box models using feedforward neural networks | IEEE Conference Publication | IEEE Xplore

Batch-mode identification of black-box models using feedforward neural networks


Abstract:

Feedforward neural networks are used for the purpose of black-box modeling. The optimization of the network parameters (i.e., the weights) is accomplished using a recursi...Show More

Abstract:

Feedforward neural networks are used for the purpose of black-box modeling. The optimization of the network parameters (i.e., the weights) is accomplished using a recursive batch-mode algorithm that is based on the minimization of a cost function. The cost is the summation of two quadratic contributions: a fitting penalty term and a term related to changes in the parameters, which can be suitably emphasized or, on the contrary, de-emphasized by choosing a proper scalar. Simulation results are reported to confirm the effectiveness of the algorithm.
Date of Conference: 08-10 May 2002
Date Added to IEEE Xplore: 07 November 2002
Print ISBN:0-7803-7298-0
Print ISSN: 0743-1619
Conference Location: Anchorage, AK, USA

References

References is not available for this document.