List of Articles رگرسیون خطی چند گانه

• Open Access Article
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  1 - Camputational methods and quantitative structure–property relationship study for prediction of melting point of carbocyclic nitroaromatic compounds using chemical and quantum mechanics descriptors: combining DFT and QSPR calculations
  mehdi nekoei mehdi maham
• Open Access Article
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  2 - Quantitative Structure-Property Relationship Study for Prediction of the Solvent Polarity Using Quantum Mechanics Descriptors and Support Vector Machine
  mehdi nekoei بهزاد چهکندی
• Open Access Article
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  3 - Modeling and quantitative structure-activity study of some carboxylate derivatives as anticancer drugs using multivariate linear regression and artificial neural networks
  mehdi nekoei Mahmood Ebrahimi پرستو فتاحی Behzad Chahkandi
• Open Access Article
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  4 - The application of multiple linear regression and artificial neural networks to study the quantitative structure-activity relationship of a group of chemokine derivatives
  mehdi nekoei محمدرضا کیانسب مجید محمدحسینی بهنام مهدوی تهمینه باهری
• Open Access Article
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  5 - Application of multivariate linear regression and artificial neural networks to predict the antimicrobial activity of some anilide derivatives by quantitative structure-activity relationship (QSAR) method
  mehdi nekoei Parastoo pourali Syed Hamed Mppsavi
• Open Access Article
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  6 - Prediction of Retention Index of Ammoides Atlantica Compounds Using Quantitative Structure-Retention Relationship Study (QSRR)
  saeed Nekoei سید عباس طاهری
• Open Access Article
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  7 - Modeling and quantitative structure-property relationship studying to predict the half-life of polychlorinated biphenyls using multivariate linear regression and artificial neural networks
  سکینه بهرامی نسب مهدی نکوئی سیدعباس طاهری
• Open Access Article
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  8 - Modeling and quantitative structure-retention relationship (QSRR) studying of the constituents of Citrus. sinensis CV. Thamson extracted by gas chromatography-mass spectrometry using genetic algorithm-multiple linear regression
  Saeed Nekoei