Rashin Andayesh (47 results)
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Taschenbuch. Condition: Neu. Predicting the Removal Amount of SCN- by TiO2 NPs Using ANN Methods | Using Novel Artificial Neural Network Methods in Removing Aqueous Thiocyanate Anions by Titanium Dioxide Nanoparticles | Rashin Andayesh | Taschenbuch | 52 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202514071…| Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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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.
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Published by Sciencia Scripts, 2020
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Language: Spanish
Published by Ediciones Nuestro Conocimiento Jul 2020, 2020
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -En este libro, la fibra de palma bio-absorbente se aplicó para la eliminación del tinte metílico catiónico violeta de la solución de agua. Para ello se utilizó un método de extracción en fase sólida combinado con la red neural artif…icial (RNA) para la preconcentración y determinación del nivel de eliminación del tinte metílico violeta. En este método influyen factores como el pH, el tiempo de contacto, la velocidad de rotación y la dosis de adsorbente. A fin de encontrar un modelo adecuado de parámetros y calcular el resultado deseado, se utilizaron dos funciones de base radial (RBF) y funciones no recursivas de perceptrón de múltiples capas (MLP), que se encuentran entre las redes neuronales artificiales más utilizadas, para entrenar los datos de entrada. El rendimiento de este método se comprueba mediante parámetros estadísticos comunes, como la RMSE, la MAE y la CE. Los resultados muestran que el algoritmo de la red neuronal artificial tiene un buen rendimiento en la simulación y la predicción de la eliminación del colorante metilo violeta. 64 pp. Spanisch.
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2020, 2020
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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 preco…ncentration 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.
Language: English
Published by LAP LAMBERT Academic Publishing Mrz 2020, 2020
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this work, the adsorbent method is performed using artificial neural network (ANN) modeling. The adsorbent is applied for removal of Thiocyanate in water samples using Titanium Dioxide (TiO2) nanoparticles as effective sorbent. P…rediction amount of Thiocyanate removal was investigated with novel algorithms of neural network. For this purpose, six parameters were chosen as training input data of neural network functions including pH, time of stirring, the mass of adsorbent, volume of TiO2, volume of Fe (III), and volume of buffer. Performances of the suggested methods were examined using statistical parameters and found that it is an efficient, effective modeling satisfactory outputs. The radial basis function (RBF) and Levenberg-Marquardt (LM) algorithm could accurately predict the experimental data with correlation coefficient of 0.997939 and 0.99931, respectively. The Pearson's Chi-square measure was found to be 29.00 for most variables, indicating that these variables are likely to be dependent in some way. 52 pp. Englisch.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dans ce livre, la fibre de palme bio-absorbante a été appliquée pour éliminer le colorant violet méthyle cationique d'une solution aqueuse. À cette fin, une méthode d'extraction en phase solide combinée avec le réseau neuronal artif…iciel (ANN) a été utilisée pour la préconcentration et la détermination du niveau d'élimination du colorant violet méthyle. Cette méthode est influencée par des facteurs tels que le pH, le temps de contact, la vitesse de rotation et le dosage de l'adsorbant. Afin de trouver un modèle approprié de paramètres et de calculer la sortie souhaitée, deux fonctions non récursives, la fonction de base radiale (RBF) et le perceptron multicouche (MLP), qui font partie des réseaux neuronaux artificiels largement utilisés, ont été utilisées pour l'entraînement des données d'entrée. La performance de cette méthode est testée par des paramètres statistiques communs, notamment la RMSE, la MAE et la CE. Les résultats montrent que l'algorithme des réseaux neuronaux artificiels est très performant pour simuler et prédire l'élimination du colorant méthylique violet. 64 pp. Französisch.
Published by Sciencia Scripts Jun 2020, 2020
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -V ätoj knige biopogloschaüschee pal'mowoe wolokno bylo primeneno dlq udaleniq kationnogo fioletowogo metilowogo krasitelq iz wodnogo rastwora. Dlq ätogo ispol'zowali metod twerdofaznoj äxtrakcii w sochetanii s iskusstwennoj nejronno…j set'ü (INS) dlq predwaritel'noj koncentracii i opredeleniq urownq udaleniq fioletowogo metilowogo krasitelq. Na ätot metod wliqüt takie faktory, kak rN, wremq kontakta, skorost' wrascheniq i doza adsorbenta. Dlq nahozhdeniq podhodqschej modeli parametrow i rascheta zhelaemogo wyhoda dlq obucheniq whodnym dannym byli ispol'zowany dwe radial'no-bazisnye funkcii (RBF) i mnogoslojnaq perceptronnaq (MLP) ne rekursiwnye funkcii, kotorye otnosqtsq k shiroko ispol'zuemym iskusstwennym nejronnym setqm. Proizwoditel'nost' ätogo metoda prowerqetsq obschimi statisticheskimi parametrami, wklüchaq RMSE, MAE i CE. Rezul'taty pokazywaüt, chto algoritm iskusstwennoj nejronnoj seti imeet horoshie pokazateli w modelirowanii i prognozirowanii udaleniq fioletowogo metilowogo krasitelq. 68 pp. Russisch.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In dit boek werd bio-absorberende palmvezel toegepast voor het verwijderen van kationische violette methylkleurstof uit de wateroplossing. Voor dit doel werd een vaste fase extractie methode in combinatie met het kunstmatige neurale… netwerk (ANN) gebruikt voor preconcentratie en bepaling van het verwijderingsniveau van violette methyl kleurstof. Deze methode wordt beïnvloed door factoren zoals pH, de contacttijd, de rotatiesnelheid en de adsorptiedosering. Om een geschikt model van parameters te vinden en de gewenste output te berekenen, werden twee radiale basisfuncties (RBF) en meerlagige perceptronfuncties (MLP), die tot de veelgebruikte kunstmatige neurale netwerken behoren, gebruikt voor het trainen van de inputgegevens. De prestaties van deze methode worden getest aan de hand van gemeenschappelijke statistische parameters, waaronder RMSE, MAE en CE. De resultaten tonen aan dat het kunstmatige neurale netwerkalgoritme een goede prestatie levert bij het simuleren en voorspellen van de verwijdering van violette methylkleurstof. 64 pp. Niederländisch.
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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 ho…lds an MSc degree in Analytical.
Language: English
Published by LAP LAMBERT Academic Publishing Mär 2020, 2020
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this work, the adsorbent method is performed using arti¿cial neural network (ANN) modeling. The adsorbent is applied for removal of Thiocyanate in water samples using Titanium Dioxide (TiO2) nanoparticles as effective sorbent. Predic…tion amount of Thiocyanate removal was investigated with novel algorithms of neural network. For this purpose, six parameters were chosen as training input data of neural network functions including pH, time of stirring, the mass of adsorbent, volume of TiO2, volume of Fe (III), and volume of buffer. Performances of the suggested methods were examined using statistical parameters and found that it is an ef¿cient, effective modeling satisfactory outputs. The radial basis function (RBF) and Levenberg-Marquardt (LM) algorithm could accurately predict the experimental data with correlation coefficient of 0.997939 and 0.99931, respectively. The Pearson's Chi-square measure was found to be 29.00 for most variables, indicating that these variables are likely to be dependent in some way.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing Mai 2020, 2020
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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 preconcen…tration 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.
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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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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 preconcent…ration 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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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this work, the adsorbent method is performed using artificial neural network (ANN) modeling. The adsorbent is applied for removal of Thiocyanate in water samples using Titanium Dioxide (TiO2) nanoparticles as effective sorbent. Predic…tion amount of Thiocyanate removal was investigated with novel algorithms of neural network. For this purpose, six parameters were chosen as training input data of neural network functions including pH, time of stirring, the mass of adsorbent, volume of TiO2, volume of Fe (III), and volume of buffer. Performances of the suggested methods were examined using statistical parameters and found that it is an efficient, effective modeling satisfactory outputs. The radial basis function (RBF) and Levenberg-Marquardt (LM) algorithm could accurately predict the experimental data with correlation coefficient of 0.997939 and 0.99931, respectively. The Pearson's Chi-square measure was found to be 29.00 for most variables, indicating that these variables are likely to be dependent in some way.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -W tej ksi¿¿ce zastosowano bio-absorpcyjne w¿ókno palmowe do usuwania kationowego barwnika fioletowo-metylowego z roztworu wodnego. W tym celu zastosowano metod¿ ekstrakcji w fazie stäej w po¿¿czeniu ze sztuczn¿ sieci¿ neuronow¿ (ANN…) do wst¿pnego zag¿szczania i oznaczania poziomu usuni¿cia barwnika fioletowo-metylowego. Na metod¿ t¿ maj¿ wp¿yw takie czynniki, jak pH, czas kontaktu, pr¿dko¿¿ obrotowa i dozowanie adsorbentu. W celu znalezienia odpowiedniego modelu parametrów i obliczenia po¿¿danej wydajno¿ci wykorzystano dwie radialne funkcje bazowe (RBF) i wielowarstwowe funkcje nierekurencyjne perceptronu (MLP), które nale¿¿ do powszechnie stosowanych sztucznych sieci neuronowych. Wydajno¿¿ tej metody jest badana za pomoc¿ wspólnych parametrów statystycznych, w tym RMSE, MAE i CE. Wyniki pokazuj¿, ¿e algorytm sztucznej sieci neuronowej ma dobr¿ skuteczno¿¿ w symulowaniu i przewidywaniu usuwania fioletowego barwnika metylowego. 60 pp. Polnisch.
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In questo libro, la fibra di palma bio-assorbente è stata applicata per la rimozione del colorante metilico violetto cationico dalla soluzione acquosa. A questo scopo, è stato utilizzato un metodo di estrazione in fase solida combin…ato con la rete neurale artificiale (RNA) per la preconcentrazione e la determinazione del livello di rimozione del colorante metilico violetto. Questo metodo è influenzato da fattori quali il pH, il tempo di contatto, la velocità di rotazione e il dosaggio dell'adsorbente. Al fine di trovare un modello adeguato di parametri e calcolare l'uscita desiderata, per l'addestramento dei dati di ingresso sono state utilizzate due funzioni di base radiale (RBF) e di percezione multistrato (MLP) non ricorsive, che sono tra le reti neurali artificiali ampiamente utilizzate. Le prestazioni di questo metodo sono testate con parametri statistici comuni, tra cui RMSE, MAE e CE. I risultati mostrano che l'algoritmo della rete neurale artificiale ha una buona performance nel simulare e prevedere la rimozione del colorante metilico violetto. 60 pp. Italienisch.
Language: Portuguese
Published by Edições Nosso Conhecimento Jul 2020, 2020
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Neste livro, foi aplicada fibra de palmeira bio-absorvente para remoção do corante catiónico de metilo violeta da solução de água. Para este fim, foi utilizado um método de extração em fase sólida combinado com a rede neural artific…ial (ANN) para pré-concentração e determinação do nível de remoção do corante de metilo violeta. Este método é influenciado por factores como o pH, o tempo de contacto, a velocidade de rotação e a dosagem de adsorvente. A fim de encontrar um modelo adequado de parâmetros e calcular a saída desejada, foram utilizadas duas funções de base radial (RBF) e funções não recursivas multi-camadas (MLP), que estão entre as redes neurais artificiais amplamente utilizadas, para o treinamento dos dados de entrada. O desempenho deste método é testado por parâmetros estatísticos comuns, incluindo RMSE, MAE e CE. Os resultados mostram que o algoritmo da rede neural artificial tem um bom desempenho na simulação e previsão da remoção do corante metilo violeta. 60 pp. Portugiesisch.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In diesem Buch wurde die bioabsorbierende Palmfaser zur Entfernung des kationischen violetten Methylfarbstoffs aus wässriger Lösung verwendet. Zu diesem Zweck wurde eine Festphasenextraktionsmethode in Kombination mit dem künstliche…n neuronalen Netzwerk (ANN) zur Anreicherung und Bestimmung des Entfernungsgrades des violetten Methylfarbstoffs verwendet. Diese Methode wird von Faktoren wie dem pH-Wert, der Kontaktzeit, der Rotationsgeschwindigkeit und der Adsorbensdosierung beeinflusst. Um ein geeignetes Parametermodell zu finden und den gewünschten Output zu berechnen, wurden zwei nichtrekursive Funktionen der radialen Basisfunktion (RBF) und des Mehrschichtperceptrons (MLP), die zu den weit verbreiteten künstlichen neuronalen Netzen gehören, zum Training der Eingabedaten verwendet. Die Leistung dieser Methode wird anhand gängiger statistischer Parameter wie RMSE, MAE und CE getestet. Die Ergebnisse zeigen, dass der Algorithmus des künstlichen neuronalen Netzes eine gute Leistung bei der Simulation und Vorhersage der Entfernung von violettem Methylfarbstoff aufweist. 64 pp. Deutsch.
Language: Spanish
Published by Ediciones Nuestro Conocimiento Jul 2020, 2020
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -En este libro, la fibra de palma bio-absorbente se aplicó para la eliminación del tinte metílico catiónico violeta de la solución de agua. Para ello se utilizó un método de extracción en fase sólida combinado con la red neural artificia…l (RNA) para la preconcentración y determinación del nivel de eliminación del tinte metílico violeta. En este método influyen factores como el pH, el tiempo de contacto, la velocidad de rotación y la dosis de adsorbente. A fin de encontrar un modelo adecuado de parámetros y calcular el resultado deseado, se utilizaron dos funciones de base radial (RBF) y funciones no recursivas de perceptrón de múltiples capas (MLP), que se encuentran entre las redes neuronales artificiales más utilizadas, para entrenar los datos de entrada. El rendimiento de este método se comprueba mediante parámetros estadísticos comunes, como la RMSE, la MAE y la CE. Los resultados muestran que el algoritmo de la red neuronal artificial tiene un buen rendimiento en la simulación y la predicción de la eliminación del colorante metilo violeta.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Spanisch.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - En este libro, la fibra de palma bio-absorbente se aplicó para la eliminación del tinte metílico catiónico violeta de la solución de agua. Para ello se utilizó un método de extracción en fase sólida combinado con la red neural artificial… (RNA) para la preconcentración y determinación del nivel de eliminación del tinte metílico violeta. En este método influyen factores como el pH, el tiempo de contacto, la velocidad de rotación y la dosis de adsorbente. A fin de encontrar un modelo adecuado de parámetros y calcular el resultado deseado, se utilizaron dos funciones de base radial (RBF) y funciones no recursivas de perceptrón de múltiples capas (MLP), que se encuentran entre las redes neuronales artificiales más utilizadas, para entrenar los datos de entrada. El rendimiento de este método se comprueba mediante parámetros estadísticos comunes, como la RMSE, la MAE y la CE. Los resultados muestran que el algoritmo de la red neuronal artificial tiene un buen rendimiento en la simulación y la predicción de la eliminación del colorante metilo violeta.
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Taschenbuch. Condition: Neu. Predicción de la adsorción de los violetas de metilo por fibra de palma modificada mediante ANN | Rashin Andayesh (u. a.) | Taschenbuch | Spanisch | 2020 | Ediciones Nuestro Conocimiento | EAN 9786202509596 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osna…brück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Dans ce livre, la fibre de palme bio-absorbante a été appliquée pour éliminer le colorant violet méthyle cationique d'une solution aqueuse. À cette fin, une méthode d'extraction en phase solide combinée avec le réseau neuronal artificie…l (ANN) a été utilisée pour la préconcentration et la détermination du niveau d'élimination du colorant violet méthyle. Cette méthode est influencée par des facteurs tels que le pH, le temps de contact, la vitesse de rotation et le dosage de l'adsorbant. Afin de trouver un modèle approprié de paramètres et de calculer la sortie souhaitée, deux fonctions non récursives, la fonction de base radiale (RBF) et le perceptron multicouche (MLP), qui font partie des réseaux neuronaux artificiels largement utilisés, ont été utilisées pour l'entraînement des données d'entrée. La performance de cette méthode est testée par des paramètres statistiques communs, notamment la RMSE, la MAE et la CE. Les résultats montrent que l'algorithme des réseaux neuronaux artificiels est très performant pour simuler et prédire l'élimination du colorant méthylique violet.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Französisch.
