Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN: Using Novel Artificial Neural Network Methods in Adsorbing Aqueous Methyl Violet Dye by Modified Palm Fiber - Softcover
Synopsis
In this book, bio-absorbent palm fiber was applied for removal of cationic violet methyl dye from water solution. For this purpose, a solid phase extraction method combined with the artificial neural network (ANN) was used for preconcentration and determination of removal level of violet methyl dye. This method is influenced by factors such as pH, the contact time, the rotation speed, and the adsorbent dosage. In order to find a suitable model of parameters and calculate the desired output, two radial basis function (RBF) and multi-layer perceptron (MLP) non-recursive functions, which are among widely used artificial neural networks, were used for training the input data. The performance of this method is tested by common statistical parameters including RMSE, MAE, and CE. The results show that the artificial neural network algorithm has a good performance in simulating and predicting the removal of violet methyl dye.
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Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN
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LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 6202565373
ISBN 13: 9786202565370
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, bio-absorbent palm fiber was applied for removal of cationic violet methyl dye from water solution. For this purpose, a solid phase extraction method combined with the artificial neural network (ANN) was used for preconcentration and determination of removal level of violet methyl dye. This method is influenced by factors such as pH, the contact time, the rotation speed, and the adsorbent dosage. In order to find a suitable model of parameters and calculate the desired output, two radial basis function (RBF) and multi-layer perceptron (MLP) non-recursive functions, which are among widely used artificial neural networks, were used for training the input data. The performance of this method is tested by common statistical parameters including RMSE, MAE, and CE. The results show that the artificial neural network algorithm has a good performance in simulating and predicting the removal of violet methyl dye. 52 pp. Englisch. Seller Inventory # 9786202565370
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Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202565373
ISBN 13: 9786202565370
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Softcover
Seller: moluna, Greven, Germany
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Andayesh RashinRashin Andayesh has always dreamed of becoming a chemist, but it didn t give her a sense of serenity and peace of mind when she had environmental concerns. Rashin achieved her goal and holds an MSc degree in Analytical. Seller Inventory # 385947770
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Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN
Published by
LAP LAMBERT Academic Publishing Mai 2020, 2020
ISBN 10: 6202565373
ISBN 13: 9786202565370
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, bio-absorbent palm fiber was applied for removal of cationic violet methyl dye from water solution. For this purpose, a solid phase extraction method combined with the artificial neural network (ANN) was used for preconcentration and determination of removal level of violet methyl dye. This method is influenced by factors such as pH, the contact time, the rotation speed, and the adsorbent dosage. In order to find a suitable model of parameters and calculate the desired output, two radial basis function (RBF) and multi-layer perceptron (MLP) non-recursive functions, which are among widely used artificial neural networks, were used for training the input data. The performance of this method is tested by common statistical parameters including RMSE, MAE, and CE. The results show that the artificial neural network algorithm has a good performance in simulating and predicting the removal of violet methyl dye.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9786202565370
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Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN : Using Novel Artificial Neural Network Methods in Adsorbing Aqueous Methyl Violet Dye by Modified Palm Fiber
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202565373
ISBN 13: 9786202565370
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, bio-absorbent palm fiber was applied for removal of cationic violet methyl dye from water solution. For this purpose, a solid phase extraction method combined with the artificial neural network (ANN) was used for preconcentration and determination of removal level of violet methyl dye. This method is influenced by factors such as pH, the contact time, the rotation speed, and the adsorbent dosage. In order to find a suitable model of parameters and calculate the desired output, two radial basis function (RBF) and multi-layer perceptron (MLP) non-recursive functions, which are among widely used artificial neural networks, were used for training the input data. The performance of this method is tested by common statistical parameters including RMSE, MAE, and CE. The results show that the artificial neural network algorithm has a good performance in simulating and predicting the removal of violet methyl dye. Seller Inventory # 9786202565370
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Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN | Using Novel Artificial Neural Network Methods in Adsorbing Aqueous Methyl Violet Dye by Modified Palm Fiber
Published by
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202565373
ISBN 13: 9786202565370
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Predicting Methyl Violet Adsorption by Modified Palm Fiber Using ANN | Using Novel Artificial Neural Network Methods in Adsorbing Aqueous Methyl Violet Dye by Modified Palm Fiber | Rashin Andayesh (u. a.) | Taschenbuch | 52 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202565370 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 118552719