Comparison of artificial neural network and multiple linear regression in the optimization of formulation parameters of leuprolide acetate loaded liposomes

Journal of Pharmacy and Pharmaceutical Sciences

Volumn 8, Issue 2, 2005, Pages 243-258

  Arulsudar, N ^a,b   Subramanian, N ^a,b   Murthy, R S R ^a  

^a M S UNIVERSITY OF BARODA   (India)

^b Sun Pharma Advanced Research Centre   (India)

Author keywords

Artificial neural network; Contour plots; Leuprolide acetate liposomes; Multiple regression

Indexed keywords

CHOLESTEROL; LEUPRORELIN; LIPID; LIPOSOME;

ACCURACY; ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPUTER; CONTROLLED STUDY; DRUG FORMULATION; ENCAPSULATION; EVAPORATION; FACTORIAL ANALYSIS; HYDRATION; LINEAR REGRESSION ANALYSIS; PARTICLE SIZE; PREDICTION; SCANNING ELECTRON MICROSCOPY; STATISTICAL SIGNIFICANCE; STATISTICS; STUDENT T TEST; VALIDATION PROCESS;

CHEMISTRY, PHARMACEUTICAL; LEUPROLIDE; LINEAR MODELS; LIPOSOMES; NEURAL NETWORKS (COMPUTER);

EID: 27244457758     PISSN: 14821826     EISSN: 14821826     Source Type: Journal    
DOI: None     Document Type: Article

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