Data di Pubblicazione:
1999
Citazione:
Function approximation : a fast-convergence neural approach based on spectral analysis / C. Citterio, A. Pelagotti, V. Piuri, L. Rocca. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS. - ISSN 1045-9227. - 10:4(1999), pp. 725-740.
Abstract:
We propose a constructive approach to building single-hidden-layer neural networks for nonlinear function approximation using frequency domain analysis. We introduce a spectrum-based learning procedure that minimizes the difference between the spectrum of the training data and the spectrum of the network's estimates. The network is built up incrementally during training and automatically determines the appropriate number of hidden units. This technique achieves similar or better approximation with faster convergence times than traditional techniques such as backpropagation.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
Convergence ; Feedforward neural nets ; Frequency-domain analysis ; Function approximation ; Learning (artificial intelligence) ; Nonlinear functions ; Spectral analysis.
Elenco autori:
C. Citterio, A. Pelagotti, V. Piuri, L. Rocca
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