Implementation of Neural Network Techniques for the loading of Copper
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Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English . Brand New Book. The application of Neural Network has been considered as promising tool for the analysis of ion-exchange process because of their simplicity with respect to simulation, prediction and modelling. This process is complex, non-linear and involves many factors influencing the ions uptake mechanisms from the pregnant solution, the subsequent step being the elution. In order to improve the performance of the ion-exchange process, optimization and analysis of the process should be accomplished. The majority of models based on the ion-exchange process are theoretical. Modelling and simulation are tools to achieve the objectives. Most of these models are derived from physical descriptions and an understanding of the ion-exchange process under certain assumptions. However, as mentioned above, they are mathematically complex, computationally expensive and they ideally require a very detailed knowledge of the ion-exchange process itself. Therefore, there is a need to find an alternative means for predicting process performance which has led to the interest by researchers in applying Neural Network techniques.

Von Händler/Antiquariat, Agrios-Buch [57449362], Bergisch Gladbach, Germany.
Neuware - The application of Neural Network has been considered as promising tool for the analysis of ion-exchange process because of their simplicity with respect to simulation, prediction and modelling. This process is complex, non-linear and involves many factors influencing the ions' uptake mechanisms from the pregnant solution, the subsequent step being the elution. In order to improve the performance of the ion-exchange process, optimization and analysis of the process should be accomplished. The majority of models based on the ion-exchange process are theoretical. Modelling and simulation are tools to achieve the objectives. Most of these models are derived from physical descriptions and an understanding of the ion-exchange process under certain assumptions. However, as mentioned above, they are mathematically complex, computationally expensive and they ideally require a very detailed knowledge of the ion-exchange process itself. Therefore, there is a need to find an alternative means for predicting process performance which has led to the interest by researchers in applying Neural Network techniques. 88 pp. Englisch.

Lieferung aus: Deutschland, Lieferzeit: 6 Tage.
The application of Neural Network has been considered as promising tool for the analysis of ion-exchange process because of their simplicity with respect to simulation, prediction and modelling. This process is complex, non-linear and involves many factors influencing the ions' uptake mechanisms from the pregnant solution, the subsequent step being the elution. In order to improve the performance of the ion-exchange process, optimization and analysis of the process should be accomplished. The majority of models based on the ion-exchange process are theoretical. Modelling and simulation are tools to achieve the objectives. Most of these models are derived from physical descriptions and an understanding of the ion-exchange process under certain assumptions. However, as mentioned above, they are mathematically complex, computationally expensive and they ideally require a very detailed knowledge of the ion-exchange process itself. Therefore, there is a need to find an alternative means for predicting process performance which has led to the interest by researchers in applying Neural Network techniques.

Lieferung aus: Schweiz, Lieferzeit: 2 Tage, zzgl. Versandkosten.
The application of Neural Network has been considered as promising tool for the analysis of ion-exchange process because of their simplicity with respect to simulation, prediction and modelling. This process is complex, non-linear and involves many factors influencing the ions' uptake mechanisms from the pregnant solution, the subsequent step being the elution. In order to improve the performance of the ion-exchange process, optimization and analysis of the process should be accomplished. The majority of models based on the ion-exchange process are theoretical. Modelling and simulation are tools to achieve the objectives. Most of these models are derived from physical descriptions and an understanding of the ion-exchange process under certain assumptions. However, as mentioned above, they are mathematically complex, computationally expensive and they ideally require a very detailed knowledge of the ion-exchange process itself. Therefore, there is a need to find an alternative means for predicting process performance which has led to the interest by researchers in applying Neural Network techniques.

Lieferung aus: Deutschland, Versandkostenfrei.
Implementation of Neural Network Techniques for the loading of Copper: The application of Neural Network has been considered as promising tool for the analysis of ion-exchange process because of their simplicity with respect to simulation, prediction and modelling. This process is complex, non-linear and involves many factors influencing the ions` uptake mechanisms from the pregnant solution, the subsequent step being the elution. In order to improve the performance of the ion-exchange process, optimization and analysis of the process should be accomplished. The majority of models based on the ion-exchange process are theoretical. Modelling and simulation are tools to achieve the objectives. Most of these models are derived from physical descriptions and an understanding of the ion-exchange process under certain assumptions. However, as mentioned above, they are mathematically complex, computationally expensive and they ideally require a very detailed knowledge of the ion-exchange process itself. Therefore, there is a need to find an alternative means for predicting process performance which has led to the interest by researchers in applying Neural Network techniques. Englisch, Taschenbuch.