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Titlebook: Neural Nets WIRN Vietri-01; Proceedings of the 1 Roberto Tagliaferri (Associate Professor of Comput Conference proceedings 2002 Springer-Ve

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F. E. Lauria,R. Prevetelimate during the year, because it possesses the same statistical properties as the measured weather data from which it has been derived. This short series is called a Short Reference Year (SRY)..The procedure involves the following steps: analysing the weather data statistically, modelling the weat
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Marcello Pelillo,Claudio Rossivarious types of solar energy applications in Europe. Contributions have been made by all contractors of the Commission of the European Communities, in par­ ticular the Meteorological Offices of the EC member countries. They all re­ ported on their work at a meeting which was held in October 1982 in
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Maria Pietronilla Penna,Eliano Pessalimate during the year, because it possesses the same statistical properties as the measured weather data from which it has been derived. This short series is called a Short Reference Year (SRY)..The procedure involves the following steps: analysing the weather data statistically, modelling the weat
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Topics in Blind Signal Processing by Neural Networksrocessing by artificial neural networks. The results are illustrated by the citation of the formal instruments involved in the research activity and by several links to the main published contributions.
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Recursive Processing of Directed Acyclic Graphssumption is reasonable in some applications, it introduces unnecessary constraints in others. In this paper, it is shown that the constraint on the ordering can be relaxed by using an appropriate weight sharing, that guarantees the independence of the network output with respect to the permutations
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