Titlebook: Neural Nets WIRN VIETRI-98; Proceedings of the 1 Maria Marinaro,Roberto Tagliaferri Conference proceedings 1999 Springer-Verlag London Limi

Debark

Learning the Amplitude of Activation Functions in Layered NetworksThe algorithm is based on a steepest gradient-descent technique, and relies on the inductive proof of a theorem that involves the concept of . of the activation associated to a given unit of the neural net. Experimental results obtained in a . task with a mixture of Multilayer Perceptrons show a tan

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Sigmoidoscopy

Stefano Fanellia published in the scientific literature in 40 years.Unique Short Historical Overview In the 1940s, two phenomena in the ?eld of cosmic rays (CR) forced scientists to think that the Sun is a powerful source of high-energy particles. One of these was discovered because of the daily solar variation of

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S. Fanelli,P. Frasconi,M. Gori,M. Protasihigh-energy particles. One of these was discovered because of the daily solar variation of CR, which the maximum number of CR observed near noon (referring to the existence of continuous ?ux of CR from the direction of the Sun); this became the experimental basis of the theory that CR’s ′ originate

Enthralling

high-energy particles. One of these was discovered because of the daily solar variation of CR, which the maximum number of CR observed near noon (referring to the existence of continuous ?ux of CR from the direction of the Sun); this became the experimental basis of the theory that CR’s ′ originate

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ACTIN

David Saad,Magnus Rattrayeatures to observe and observing programmes to follow. So much energy comes from the Sun that by failing to observe safe working practices it is possible to damage your eyes or equipment. The care that is needed is emphasised throughout the book. Always make sure that you have read the whole of a se

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