Data modelling with neural networks: Advantages and limitations

Journal of Computer-Aided Molecular Design

Volumn 11, Issue 2, 1997, Pages 135-142

  Livingstone, D J ^a,d   Manallack, D T ^b   Tetko, I V ^c  

^a UNIVERSITY OF PORTSMOUTH   (United Kingdom)

^b Chiroscience Ltd   (United Kingdom)

^c INSTITUTE OF BIOORGANIC CHEMISTRY AND PETROCHEMISTRY   (Ukraine)

^d Cheyney House   (United Kingdom)

Author keywords

Chance effects; Data display; Nonlinear relationships; Overfitting; Overtraining; Variable selection

Indexed keywords

CHARGE TRANSFER; DATA HANDLING; INFORMATION ANALYSIS;

CHANCE EFFECT; DATA DISPLAY; DRUG DESIGN; MODELING DEVICES; NEURAL-NETWORKS; NON-LINEAR RELATIONSHIPS; NONLINEAR DATA; OVERFITTING; OVERTRAINING; VARIABLES SELECTIONS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CHEMICAL STRUCTURE; COMPUTER PROGRAM; DRUG DESIGN; STATISTICAL ANALYSIS; STATISTICAL MODEL;

DATA INTERPRETATION, STATISTICAL; DRUG DESIGN; MODELS, STATISTICAL; MOLECULAR STRUCTURE; NEURAL NETWORKS (COMPUTER); SOFTWARE;

EID: 0031090791     PISSN: 0920654X     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008074223811     Document Type: Article

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