Beschreibung
In analysis with ANN many times noisy data which is non-stationary comes into consideration for time series prediction. This book goes into different data pre-processing techniques and how these actually help in increasing the prediction accuracy of Artificial Neural Networks. The choice of the correct configuration of an ANN is a non trivial task and the results obtained are verified by applying various criteria and interchanging of experimental and test sets and randomizing so that these are applicable in extreme circumstances.
Autorenporträt
*B.E. Civil from COEP, Pune in 1979*M.E. Civil-Hydraulics, from B.V.D.U.C.O.E. ,Pune*M.A.French, Pune University*Diplome de la Langue, French*Diplome d'Etudes Moderne Francaise, Paris*Diploma in Japanese, Pune University, foreign Languages Department*Well known Author in Marathi,English,Hindi and Esperanto fiction.*Knows Esperanto very Well.
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OmniScriptum SRL
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