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Titlebook: Soft Computing Approaches in Chemistry; Hugh M. Cartwright,Les M. Sztandera Book 2003 Springer-Verlag Berlin Heidelberg 2003 Base.Chemical

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Genetic Algorithm Evolution of Fuzzy Production Rules for the On-line Control of Phenol-Formaldehydn. Variations may arise from an inability to control the production process to the desired degree of precision, or from a lack of detailed knowledge about how physical parameters such as temperature, pressure and concentration affect the course of the reaction. The operating parameters for batch pro
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A Novel Approach to QSPR/QSAR Based on Neural Networks for Structures,ucture-activity relationships) analysis. We face two quite different chemical applications using the same model, i.e. predicting the boiling point of a class of alkanes and QSAR of a class of benzodiazepines. The model, Cascade Correlation for structures, is a class of recursive neural networks rece
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Hybrid modeling of kinetics for methanol synthesis,ial basis function network, is proposed. The parametric model is used for principal modeling of the process and the radial basis function network is applied for nonlinear error correction. Experimental modeling can be improved by selecting as model inputs only variables with high predictive importan
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Genetic Algorithms for the Geometry Optimization of Clusters and Nanoparticles,cription is presented of the Birmingham Cluster Genetic Algorithm Program, developed in our group, and a number of specific applications are highlighted. Finally, a number of recent innovations and possible future developments are discussed.
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1434-9922 book cover a wide range of applications of Soft Computing to the chemical domain. The early roots of Soft Computing can be traced back to Lotfi Zadeh‘s work on soft data analysis [1] published in 1981. ‘Soft Computing‘ itself became fully established about 10 years later, when the Berkeley Initiativ
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Enhanced Rules Application Order to Stem Affixation, Reduplication and Compounding Words in Malay Temoval and dictionary lookup methods called enhanced rule application order that is able to stem affixation, reduplication and compounding words and at the same time, is able to address possible stemming errors. This paper also examines possible root causes of affixation, reduplication and compoundin
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