Modeling the electrophoretic mobility of analytes in binary solvent electrolyte systems in capillary electrophoresis using an artificial neural network. [electronic resource]

By:

Jouyban, A

Contributor(s):

Majidi, M R
Altria, K D
Clark, B J
Asadpour-Zeynali, K

Producer: 20051130Description: 656-60 p. digitalISSN:

0031-7144

Subject(s):

Adrenergic beta-Antagonists -- chemistry
Algorithms
Artificial Intelligence
Complex Mixtures
Electrophoresis, Capillary -- statistics & numerical data
Models, Statistical
Neural Networks, Computer
Solvents

In: Die Pharmazie vol. 60

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Publication Type: Journal Article; Research Support, Non-U.S. Gov't

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Modeling the electrophoretic mobility of analytes in binary solvent electrolyte systems in capillary electrophoresis using an artificial neural network.

APA

Jouyban A., Majidi M. R., Altria K. D., Clark B. J. & Asadpour-Zeynali K. (20051130). Modeling the electrophoretic mobility of analytes in binary solvent electrolyte systems in capillary electrophoresis using an artificial neural network. : Die Pharmazie.

Chicago

Jouyban A, Majidi M R, Altria K D, Clark B J and Asadpour-Zeynali K. 20051130. Modeling the electrophoretic mobility of analytes in binary solvent electrolyte systems in capillary electrophoresis using an artificial neural network. : Die Pharmazie.

Harvard

Jouyban A., Majidi M. R., Altria K. D., Clark B. J. and Asadpour-Zeynali K. (20051130). Modeling the electrophoretic mobility of analytes in binary solvent electrolyte systems in capillary electrophoresis using an artificial neural network. : Die Pharmazie.

MLA

Jouyban A, Majidi M R, Altria K D, Clark B J and Asadpour-Zeynali K. Modeling the electrophoretic mobility of analytes in binary solvent electrolyte systems in capillary electrophoresis using an artificial neural network. : Die Pharmazie. 20051130.

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