A study of aquatic toxicity using artificial neural networks

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 2774 PART 2, Issue , 2003, Pages 911-918

  Crǎciun, Marian Viorel ^a   Neagu, Daniel C ^b   König, Christoph ^c   Bumbaru, Severin ^a  

^a DUNAREA DE JOS UNIVERSITY OF GALATI   (Romania)

^b UNIVERSITY OF BRADFORD   (United Kingdom)

^c POLITECNICO DI MILANO   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CHEMICAL COMPOUNDS; DATA REDUCTION; DATABASE SYSTEMS; INFORMATION ANALYSIS; LEARNING SYSTEMS; MATHEMATICAL MODELS; MOLECULAR STRUCTURE; OPTIMIZATION; REGRESSION ANALYSIS; KNOWLEDGE BASED SYSTEMS; NEURAL NETWORKS; TOXICITY;

MEAN SQUARE ERROR (MSE); MODULAR APPROACH; NOISE TOLERANCE; SUPERVISED-TRAINED NEURAL NETWORKS (SNN); AQUATIC TOXICITY; LEARNING ABILITIES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS; REAL-WORLD; TOXICITY PREDICTIONS;

NEURAL NETWORKS; COMPUTATIONAL CHEMISTRY;

EID: 8344256479     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-45226-3_125     Document Type: Conference Paper

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