نتایج جستجو برای: genetic algorithm multiple linear regression
تعداد نتایج: 2493640 فیلتر نتایج به سال:
introduction: estimation of cation exchange capacity (cec) with reliable soil properties can save time and cost. pedotransfer function (ptf) is a common method in estimating certain soil properties (e.g. cec) that has been wieldy used for many years. one of the common techniques that have been used to develop ptfs is multiple linear regressions. in this method, all easily obtained soil properti...
Quantitative structure-activity relationship (QSAR) models were employed for prediction the activity of P2X7 receptor antagonists. A data set consisted of 50 purine derivatives was utilized in the model construction where 40 and 10 of these compounds were in the training and test sets respectively. A suitable group of calculated molecular descriptors was selected by employing stepwise multiple ...
abstract this thesis includes five chapter : the first chapter assign to establish fuzzy mathematics requirement and introduction of liner programming in thesis. the second chapter we introduce a multilevel linear programming problems. the third chapter we proposed interactive fuzzy programming which consists of two phases , the study termination conditions of algorithm we show a satisfac...
This dissertation studies the least squares estimator of a trend parameter in a simple linear regression model with multiple changepoints when the changepoint times are known. The error component in the model is allowed to be autocorrelated. The least squares estimator of the trend and the variance of the trend estimator are derived. Consistency and asymptotic normality of the trend estimator a...
Quantitative structure-property relationship (QSPR) analysis has been directed to a series of pure nonionic surfactants containing linear alkyl, cyclic alkyl, and alkey phenyl ethoxylates. Modeling of cloud point of these compounds as a function of the theoretically derived descriptors was established by multiple linear regression (MLR) and partial least squares (PLS) regression. In this study,...
Abstract Aiming at the security risk of power system instability, this paper proposes a parameter optimization AVC planning strategy based on neural network. Based variety grid operation modes, innovatively uses genetic algorithm to improve network quantile regression control variables obtain state variables. This method can reduce frequency invalid operations, make more stable, and security. I...
Genetic algorithms (GAs) are powerful heuristic search techniques that used successfully to solve problems for many different applications. Seeding the initial population is considered as first step of GAs. In this work, a new method proposed, seeding called Multi Linear Regression Based Technique (MLRBT). That divides given large scale TSP problem into smaller sub-problems and technique works ...
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