Neural network computing

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Biocomputers. 2. Neural networks (computer science) 3. Information technology. 

DNLM 1. Automatic Data Processing. 2. Biochemical Phenomena. 3. Neural Networks (Computer) QU 26.5 F478i 2010]... 

Rassokhin, D., Lobanov, V. S., and Agrafiotis, D. K. (2000) Nonlinear mapping of massive data sets by fuzzy clustering and neural networks../. Comput. Chem. 21, 1-14. 

Bharath, R. (1994) Neural Network Computing, McGraw-Hill, New York. 

Environment Canada Fathead minnow acute toxicity ECOSAR, TOPKAT, probabilistic neural network, computational neural network, ASTER, OASIS Moore et al. (2003)... 

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With the progress in the chemical calculation of the molecule, analyses with HOMO/LUMO (highest occupied molecular orbital/lowest unoccupied molecular orbital) energy, absolute hardness/absolute electron negativity, and research into these new and old descriptors have been reported recently. Furthermore, new methods with neural network computers, as well as multiregression analysis, cluster analysis, and major component analysis have been applied to investigate the relationship between the property and function of the molecule and of each descriptor. 

Most computations were performed using the adapt software system on a Sun 4/110 workstation. However, the annealing programs and the neural network computations [15] were performed on a DEC 3000 AXP Model 500 workstation. Both systems run under Unix, and all programs are written in Fortran 77. 

Ivanciuc, O., Rabine, J.-P. and Cabrol-Bass, D. (1997) C NMR chemical shift sum prediction for alkanes using neural networks. Computers Chem., 21, 437-443. 

Patankar, S.J. and Jurs, P.C. (2003a) Classification of HIV protease inhibitors on the basis of their antiviral potency using radial basis function neural networks./. Comput. Aid. Mol. Des., 17, 155-171. 

Wang, Y.-H., Li, Y, Yang, S.-L. and Yang, L. (2005) An in silico approach for screening flavonoids as P-glycoprotein inhibitors based on a Bayesian-regularized neural network. /. Comput. Aid. Mol. Des., 19, 137-147. 

Dong D, McAvoy TJ, Nonlinear principal component analysis-based on principal curves and neural networks, Computers in Chemical Engineering, 1996, 20, 65-78. 

Thus, it seems that the physical periodic systems can be used for predictions of massive numbers of molecules only for diatomic and acyclic triatomic molecules and possibly for one or another structural form of tetra-atomic molecules. This limitation is not due to the method of construction of the periodic system, but to the scarcity of data with which to set up the least-squares or neural-network computing. 

Pelayo, E., Buldain, D., Orrite, C. Magnitude sensitive competitive learning. In 20th European Symposium on Artificial Neural Networks, Computational Intelh-gence and Machine Learning, vol. 1, pp. 305-310 (2012)... 

Lam, H. R, Yuen, K.-V. and Beck, J. L. Structural health monitoring via measured Ritz vectors utilizing artificial neural networks. Computer-Aided Civil and Infrastructure Engineering 21(4) (2006), 232-241. 

Gaber, M.T. and Benjamin, C.O., 1992. Classifying US manufacturing plant locations using an artificial neural network. Computers and Industrial Engineering, 23, 101-104. 

Kuo, R.J., Chi, S.C. and Kao, S.S., 2002. A decision support system for selecting convenience store location through integration of fuzzy AHP and artificial neural network. Computers in Industry, 47, 199-214. 

Ansuj, A., Camargo, M., Radharamanan, R. and Petty, D., 1996. Sales forecasting using time series and neural networks. Computers and Industrial Engineering, 31(1-2), 421 24. 

Thiesing, F. and Vombeiger, O., 1997. Forecasting sales using neural networks. Computational Intelligence, 1226, 321-328. 

Artifical Neural Networks Computer Algorithms Databases Fourier Series Functional Analysis Fuzzy Sets, Fuzzy Logic, and Fuzzy Systems Statistics, Bayesian Wavelets... 

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