ISBN: 9786139894949 - data mining of objects using genetic algorithm (9 risultati)

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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. …

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.…

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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.…

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.…

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.…