@inproceedings{c7a0151c34a1458da196cf4f28208b13,
title = "A backpropagation neural network for risk assessment",
abstract = "The authors investigate the credibility of the neural network approach as a viable tool in the field of developmental toxicity risk assessment. A three-layer artificial neural network (ANN) was trained using backpropagation. The topology of the network was decided based on a set of trials and errors. This network was trained to perform risk assessment on a set of toxicological data and give a decision like the decision given by experts. The assessment ability of the resulting network was compared with the statistical approach of discriminant analysis and the superiority of the neural network approach was established.",
author = "Hashemi, {Ray R.} and Stafford, {Nancy L.}",
note = "Publisher Copyright: {\textcopyright} 1993 IEEE.; 1993 Phoenix Conference on Computers and Communications, PCCC 1993 ; Conference date: 23-03-1993 Through 26-03-1993",
year = "1993",
doi = "10.1109/PCCC.1993.344531",
language = "English",
series = "Proceedings of Phoenix Conference on Computers and Communications, PCCC 1993",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "565--570",
booktitle = "Proceedings of Phoenix Conference on Computers and Communications, PCCC 1993",
address = "United States",
}