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Using the Radial Basis Function (RBF) neural network architecture to develop QSARs for the prediction of the toxicity of phenols in Tetrahymena pyriformis

Makridima, Kalliopi and Afantitis, Antreas and Melagraki, Georgia and Patrinos, Panagiotis and Sarimveis, Haralambos and Igglesi-Markopoulou, Olga Using the Radial Basis Function (RBF) neural network architecture to develop QSARs for the prediction of the toxicity of phenols in Tetrahymena pyriformis. In: 11th International Workshop on Quantitative Structure-Activity Relationships in Environmental Sciences (QSAR 2004), 9th-13th May 2004, Liverpool, UK (Unpublished) (2004)

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Item Type: Conference or Workshop Item (Poster)
Subjects: Q Science > QA Mathematics > QA76 Computer software
R Medicine > RM Therapeutics. Pharmacology
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 06 Dec 2011 11:56
Last Modified: 06 Dec 2011 13:24
URI: http://eprints.imtlucca.it/id/eprint/1038

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