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.
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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.
*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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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 200 pp. Englisch. N° de réf. du vendeur 9783330069541
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Banhatti Aniruddha*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 Unive. N° de réf. du vendeur 151236125
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Taschenbuch. Etat : Neu. Data Pre-processing Methods and their impact on ANN | Aniruddha Banhatti | Taschenbuch | 200 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330069541 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 109031325
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Taschenbuch. Etat : Neu. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 200 pp. Englisch. N° de réf. du vendeur 9783330069541
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. N° de réf. du vendeur 9783330069541
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