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The prediction of time series phenomena is a hard and complex task. Many statistical models have been used for solving such task. The selection of a proper statistical model and the setup of its parameters (in terms of the number of parameters and their values) are difficult tasks and they are usually solved by trial and error. This paper presents a hybrid system that integrates genetic algorithms...
QSAR (quantitative structure-activity relationship) modeling is one of the well developed areas in drug development through computational chemistry. Similar molecules with just a slight variation in their structure can have quit different biological activity. This kind of relationship between molecular structure and change in biological activity is center of focus for QSAR Modeling. Predictions of...
QSAR (quantitative structure-activity relationship) modeling is one of the well developed areas in drug development through computational chemistry. Similar molecules with just a slight variation in their structure can have quit different biological activity. This kind of relationship between molecular structure and change in biological activity is center of focus for QSAR Modeling. Predictions of...
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