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Data mining objects using di jain nikita (9 risultati)

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  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6139894948 / 9786139894949

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    Da: Books Puddle, Woodside, NY, U.S.A.Books Puddle

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    Condizione: Nuovo

    EUR 69,85

    EUR 3,56 spedizione 
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    Quantità: 4 disponibili

    Condizione: New.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6139894948 / 9786139894949

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    Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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    Condizione: Nuovo

    EUR 72,24

    EUR 11,99 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 1 disponibile

    Paperback. Condizione: Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6139894948 / 9786139894949

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    Da: preigu, Osnabrück, Germaniapreigu

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    Condizione: Nuovo

    EUR 36,60

    EUR 70,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 5 disponibili

    Taschenbuch. Condizione: Neu. Data Mining of Objects Using Genetic Algorithm | Nikita Jain | Taschenbuch | 80 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139894949 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Aug 2019, 2019

    6139894948 / 9786139894949

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    • Print on Demand

    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Condizione: Nuovo

    EUR 39,90

    EUR 23,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 2 disponibili

    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Neural Networks (ANN) has become a powerful tool in decision-making. It has many qualities, which can easily attract the user such as the ability to 'learn from different dynamic data which is obtained through internal adjustment of weight, easy and speedy in calculation, provides robust solution in presence of noise and provides accurate solution when used over a set of previously unseen example from problem domain. However, it has one big drawback of working, as 'black box' technology that is input is supply to a trained network, which processed opaquely. Due to this missing transparency, network structures are confusing. Along with this, multiple layer and recurrent networks are complicating the problems, especially when genetic algorithms produce the weights of ANNs, as direct knowledge about the concrete workings is necessary. Some techniques like CART and C 4.5 produced transparent models which provide comprehensible results but they are not that much accurate. We would like to show some perspective on rule extraction (RE) through which we can add explanation facilities to ANN. 80 pp. Englisch.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6139894948 / 9786139894949

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    • Print on Demand

    Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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    Condizione: Nuovo

    EUR 69,54

    EUR 7,79 spedizione 
    Spedito da Regno Unito a U.S.A.

    Quantità: 4 disponibili

    Condizione: New. Print on Demand.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6139894948 / 9786139894949

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    • Print on Demand

    Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    Condizione: Nuovo

    EUR 70,66

    EUR 9,95 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 4 disponibili

    Condizione: New. PRINT ON DEMAND.

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6139894948 / 9786139894949

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    • Print on Demand

    Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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    Condizione: Nuovo

    EUR 45,66

    EUR 35,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Neural Networks (ANN) has become a powerful tool in decision-making. It has many qualities, which can easily attract the user such as the ability to 'learn from different dynamic data which is obtained through internal adjustment of weight, easy and speedy in calculation, provides robust solution in presence of noise and provides accurate solution when used over a set of previously unseen example from problem domain. However, it has one big drawback of working, as 'black box' technology that is input is supply to a trained network, which processed opaquely. Due to this missing transparency, network structures are confusing. Along with this, multiple layer and recurrent networks are complicating the problems, especially when genetic algorithms produce the weights of ANNs, as direct knowledge about the concrete workings is necessary. Some techniques like CART and C 4.5 produced transparent models which provide comprehensible results but they are not that much accurate. We would like to show some perspective on rule extraction (RE) through which we can add explanation facilities to ANN.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing, 2019

    6139894948 / 9786139894949

    • Brossura
    • Print on Demand

    Da: moluna, Greven, Germaniamoluna

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    Condizione: Nuovo

    EUR 34,25

    EUR 48,99 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: Più di 20 disponibili

    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jain NikitaNikita Jain - M. Tech. Scholar, India.Artificial Neural Networks (ANN) has become a powerful tool in decision-making. It has many qualities, which can easily attract the user such as the ability to `learn from differen.…

  • Lingua: Inglese

    Editore: LAP LAMBERT Academic Publishing Aug 2019, 2019

    6139894948 / 9786139894949

    • Brossura
    • Print on Demand

    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Condizione: Nuovo

    EUR 39,90

    EUR 60,00 spedizione 
    Spedito da Germania a U.S.A.

    Quantità: 1 disponibile

    Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial Neural Networks (ANN) has become a powerful tool in decision-making. It has many qualities, which can easily attract the user such as the ability to 'learn from different dynamic data which is obtained through internal adjustment of weight, easy and speedy in calculation, provides robust solution in presence of noise and provides accurate solution when used over a set of previously unseen example from problem domain. However, it has one big drawback of working, as 'black box' technology that is input is supply to a trained network, which processed opaquely. Due to this missing transparency, network structures are confusing. Along with this, multiple layer and recurrent networks are complicating the problems, especially when genetic algorithms produce the weights of ANNs, as direct knowledge about the concrete workings is necessary. Some techniques like CART and C 4.5 produced transparent models which provide comprehensible results but they are not that much accurate. We would like to show some perspective on rule extraction (RE) through which we can add explanation facilities to ANN.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch.…