Artificial neural network for predicting the toxicity of organic molecules

Bulletin of the Chemical Society of Japan

Volumn 74, Issue 12, 2001, Pages 2451-2461

  Admans, Gary ^a   Takahashi, Yoshimasa ^a   Ban, Satoshi ^a   Kato, Hiroaki ^a   Abe, Hidetsugu ^a   Hanai, Sosuke ^b  

^a TOYOHASHI UNIVERSITY OF TECHNOLOGY   (Japan)

^b Japan Chemical Industry Assoc   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP (QSAR);

NEURAL NETWORKS; REGRESSION ANALYSIS; TOXIC MATERIALS; TOXICITY;

MOLECULAR STRUCTURE;

NARCOTIC AGENT; ORGANIC COMPOUND; TOXIC SUBSTANCE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL ANALYSIS; CHEMICAL STRUCTURE; MOLECULE; ORGANIC CHEMISTRY; PREDICTION; TOXICITY TESTING; WATER ANALYSIS; WATER CONTAMINATION;

EID: 0035544217     PISSN: 00092673     EISSN: None     Source Type: Journal    
DOI: 10.1246/bcsj.74.2451     Document Type: Article

References (28)