eprintid: 1038
rev_number: 9
eprint_status: archive
userid: 6
dir: disk0/00/00/10/38
datestamp: 2011-12-06 11:56:46
lastmod: 2011-12-06 13:24:35
status_changed: 2011-12-06 11:56:46
type: conference_item
metadata_visibility: show
creators_name: Makridima, Kalliopi
creators_name: Afantitis, Antreas
creators_name: Melagraki, Georgia
creators_name: Patrinos, Panagiotis
creators_name: Sarimveis, Haralambos
creators_name: Igglesi-Markopoulou, Olga
creators_id: 
creators_id: 
creators_id: 
creators_id: panagiotis.patrinos@imtlucca.it
creators_id: 
creators_id: 
title: Using the Radial Basis Function (RBF) neural network architecture to develop QSARs for the prediction of the toxicity of phenols in Tetrahymena pyriformis
ispublished: unpub
subjects: QA76
subjects: RM
divisions: CSA
full_text_status: none
pres_type: poster
date: 2004
event_title: 11th International Workshop on Quantitative Structure-Activity Relationships in Environmental Sciences (QSAR 2004)
event_location: Liverpool, UK
event_dates: 9th-13th May 2004
event_type: conference
refereed: TRUE
related_url_url: http://www.toxqsar.org/program.html
related_url_type: org
citation:   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Structure-Activity Relationships in Environmental Sciences (QSAR 2004), 9th-13th May 2004, Liverpool, UK       (Unpublished)   (2004)