MODELING DRUG SOLUBILITY IN WATER-COSOLVENT MIXTURES USING AN ARTIFICIAL NEURAL
NETWORK (ANN)

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JOUYBAN A.A.GH.; MAJIDI M.R.; JABBARIBAR F.; ASADPOUR ZEYNALI K.

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Journal: PHARMACEUTICAL SCIENCES Year:2004 | Volume:- | Issue:1 Page(s): 47-60

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Information Journal Paper

Title

MODELING DRUG SOLUBILITY IN WATER-COSOLVENT MIXTURES USING AN ARTIFICIAL NEURAL NETWORK (ANN)

Author(s)

JOUYBAN A.A.GH. | MAJIDI M.R. | JABBARIBAR F. | ASADPOUR ZEYNALI K. | Issue Writer Certificate

Keywords

ARTIFICIAL NEURAL NETWORKQ3

SOLUBILITY PREDICTIONQ3

MIXED SOLVENTQ3

Abstract

A new computational method based on an ARTIFICIAL NEURAL NETWORK has been proposed to calculate solute solubility in binary MIXED SOLVENTs. The accuracy of the proposed method has been compared with that of the best multiple linear regression method taken from the literature employing seven numerical analyses and the results showed that the proposed method was superior in six numerical analyses and there was no significant difference between two methods in a numerical analysis.

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APA: Copy

JOUYBAN, A.A.GH., MAJIDI, M.R., JABBARIBAR, F., & ASADPOUR ZEYNALI, K.. (2004). MODELING DRUG SOLUBILITY IN WATER-COSOLVENT MIXTURES USING AN ARTIFICIAL NEURAL NETWORK (ANN). PHARMACEUTICAL SCIENCES, -(1), 47-60. SID. https://sid.ir/paper/48578/en

Vancouver: Copy

JOUYBAN A.A.GH., MAJIDI M.R., JABBARIBAR F., ASADPOUR ZEYNALI K.. MODELING DRUG SOLUBILITY IN WATER-COSOLVENT MIXTURES USING AN ARTIFICIAL NEURAL NETWORK (ANN). PHARMACEUTICAL SCIENCES[Internet]. 2004;-(1):47-60. Available from: https://sid.ir/paper/48578/en

IEEE: Copy

A.A.GH. JOUYBAN, M.R. MAJIDI, F. JABBARIBAR, and K. ASADPOUR ZEYNALI, “MODELING DRUG SOLUBILITY IN WATER-COSOLVENT MIXTURES USING AN ARTIFICIAL NEURAL NETWORK (ANN),” PHARMACEUTICAL SCIENCES, vol. -, no. 1, pp. 47–60, 2004, [Online]. Available: https://sid.ir/paper/48578/en

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