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A common framework for the unification of neural, chemometric and statistical modeling methods
Bakshi, B.R.; Utojo, U.
Pattern recognition approach to the study of the interactions between metalloporphyrin Langmuir-Blodgett films and volatile organic compounds
Di Natale, C.; Paolesse, R.; Macagnano, A.; Troitsky, V.I.; Berzina, T.S.; D'Amico, A.
Artificial neural networks (ANNs) in the analysis of polycyclic aromatic hydrocarbons in water samples by synchronous fluorescence
Ferrer, R.; Guiteras, J.; Beltran, J.L.
The neural network MolNet prediction of alkane enthalpies
The development of a quantitative structure property relationship (QSPR) for the prediction of dielectric constants using neural networks
Schweitzer, R.C.; B. Morris, J.
A comparison study of chemical sensor array pattern recognition algorithms
Shaffer, R.E.; Rose-Pehrsson, S.L.; McGill, R.A.
Study of structure-toxicity relationship by a counterpropagation neural network
Vracko, M.; Novic, M.; Zupan, J.
Evaluation of nonlinear model building strategies for the determination of glucose in biological matrices by near-infrared spectroscopy
Ding, Q.; Small, G.W.; Arnold, M.A.
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