Modelling of Industrial Processes using Natural Computation
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[1] C. B. Lucasius,et al. Towards genetic algorithm methodology in chemometrics , 1993 .
[2] Edward V. Thomas,et al. A primer on multivariate calibration , 1994 .
[3] J.R.M. Smits,et al. Exploring the possibilities of applying artificial neural networks on problems in analytical chemistry , 1993 .
[4] J. Zupan,et al. Neural networks: A new method for solving chemical problems or just a passing phase? , 1991 .
[5] Gerrit Kateman,et al. Using genetic algorithms for an artificial neural network model inversion , 1993 .
[6] D. V. Krevelen. Properties of Polymers , 1990 .
[7] Gerrit Kateman,et al. Neural networks used as a soft-modelling technique for quantitative description of the relation between physical structure and mechanical properties of poly(ethylene terephthalate) yarns , 1992 .
[8] A. P. de Weijer,et al. Process-structure-property relationships obtained with natural computation: an application to PET yarns , 1995 .
[9] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.