DocumentCode
288777
Title
Discrimination analysis of structure-toxicity relationships on silatranes by artificial neural network
Author
Cai, Yudong
Author_Institution
Res. Center of Technol., Acad. Sinica, Shanghai, China
Volume
5
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
3116
Abstract
The structure-toxicity relationships of silatranes was studied by using backpropagation model which is one of the typical artificial neural networks. A group of samples were collected as an object of study. The results of chemical experiment and toxic detection showed that the successful rate reached 100%. Therefore the performance of the neural network approach is good, and it might be referred as an effective assistant technique for analysis of structure-activity relationships of medicine
Keywords
backpropagation; medical computing; neural nets; pattern recognition; artificial neural network; backpropagation model; discrimination analysis; silatranes; structure-activity relationships; structure-toxicity relationships; toxic detection; Artificial neural networks; Chemical compounds; Chemical technology; Cities and towns; Computer aided instruction; Hair; Network synthesis; Neural networks; Proteins; Toxic chemicals;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374731
Filename
374731
Link To Document