+++J. Chem. Inf. Comput. Sci.

[Татка]

Use of Automatic Relevance Determination in QSAR Studies Using Bayesian Neural Networks
Frank R. Burden*
Martyn G. Ford and David C. Whitley
David A. Winkler
CSIRO Division of Molecular Science, Private Bag 10, Clayton South MDC, Clayton, Victoria 3169, Australia
J. Chem. Inf. Comput. Sci., 2000, 40 (6), pp 1423–1430
DOI:

DOI:

http://dx.doi.org/10.1021/ci000450a

2)Pseudoreceptor Models and 3D-QSAR for Imidazobenzodiazepines at GABAA/BzR Subtypes αxβ3γ2 [x = 1−3, 5, and 6] via Flexible Atom Receptor Model

Aijun Lu and Jiaju Zhou*
J. Chem. Inf. Comput. Sci., 2004, 44 (3), pp 1130–1136
DOI:

DOI:

http://dx.doi.org/10.1021/ci034281g

3)Multivariate Regression Outperforms Several Robust Architectures of Neural Networks in QSAR Modeling
Bono Luić and Nenad Trinajstić
The Rugjer Bošković Institute, P.O. Box 1016, HR-10001 Zagreb, Croatia
J. Chem. Inf. Comput. Sci., 1999, 39 (1), pp 121–132
DOI:

DOI:

http://dx.doi.org/10.1021/ci980090f

[eFo]

[Татка]

спасибочки)))