List of Articles multiple linear regression Open Access Article Abstract Page Full-Text 1 - Investigating the water quality index (WQI) using Landsat 8 satellite images and the application of univariate and multivariate models in Sefidroud River in northern Iran. Yousef pourhabib ebrahim fataei Fatemeh Nasehi Behnam Khanizadeh Hossein Saadati Open Access Article Abstract Page Full-Text 2 - QSPR Models to Predict Thermodynamic Properties of Alkenes Using Genetic Algorithm and Backward- Multiple Linear Regressions Methods fatemeh Ghaemdoost fatemeh shafiei 10.30495/jptc.2021.20865 Open Access Article Abstract Page Full-Text 3 - مدل‌های رابطه کمی ساختار-ویژگی برای پیش‌بینی خواص ترمودینامیکی مشتقات ایمیدازول با استفاده از توصیفگر مولکولی و الگوریتم ژنتیک-رگرسیون خطی چندگانه shiva Moshayedi fatemeh shafiei Tahereh Momeni Isfahani 10.30495/jptc.2021.20401 Open Access Article Abstract Page Full-Text 4 - Structural Relationship Study of Octanol-Water Partition Coefficient of the Compounds in kesum Essential Oil Using GA-MLR and GA-ANN Methods Atefehsadat Navabi Tahereh Momeni Isfahani 10.30495/jptc.2021.20873 Open Access Article Abstract Page Full-Text 5 - Quantitative Structure- Property Relationship(QSPR) Study of 2-Phenylindole derivatives as Anticancer Drugs Using Molecular Descriptors samira Bahrami fatemeh shafiei Azam Marjani Tahereh Momeni Isfahani 10.30495/jptc.2021.20876 Open Access Article Abstract Page Full-Text 6 - Quantitative structure–activity relationship study for predicting activity of some medicine compounds by firefly algorithm mehdi nekoei Fatemeh Shams Open Access Article Abstract Page Full-Text 7 - 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 Abstract Page Full-Text 8 - Modeling and quantitative structure-property relationship (QSPR) study to predict the acidic constants of some chemical compounds using multiple linear regression and support vector machine mehdi nekoei Abbass Taheri Majid Mohammadhosseini Open Access Article Abstract Page Full-Text 9 - 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 Abstract Page Full-Text 10 - Quantitative Structure-Retention Relationship (QSRR) Covats Index of Boiss Nepeta macrosiphon azam vafaei Open Access Article Abstract Page Full-Text 11 - 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 Abstract Page Full-Text 12 - Prediction of Retention Index of Ammoides Atlantica Compounds Using Quantitative Structure-Retention Relationship Study (QSRR) saeed Nekoei سید عباس طاهری Open Access Article Abstract Page Full-Text 13 - 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 Abstract Page Full-Text 14 - 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 Open Access Article Abstract Page Full-Text 15 - Steps, calculations and results of studies of theoretical predictions of quantitative structure retention relationship (QSRR) of Pittosporum undulatum essential oil مجید محمدحسینی مهدی نکوئی Open Access Article Abstract Page Full-Text 16 - Evaluating effects of various physiographic factors and distance from road on timber marking using multiple linear regression model Hamid Jalilvand Maryam Niknejad Mohammad Hejazian Open Access Article Abstract Page Full-Text 17 - Prediction of LD50 for aniline derivatives (Including some herbicide compounds) using computational methods E. Mohammadinasab M. Rezaei Open Access Article Abstract Page Full-Text 18 - The study of relationship between molecular descriptors and LD50 of organophosphate pesticides E. Mohammadinasab M. kianpour Open Access Article Abstract Page Full-Text 19 - Prediction of LD50 for carboxylic acid derivatives using multiple linear regression and artificial neural networks models E. Mohammadinasab f. Mohammaei Open Access Article Abstract Page Full-Text 20 - Prediction of toxicity and octanol – water partition coefficient of organochlorine pesticides using Molecular Descriptors and GA-MLR Method F. Shafiei Z. Zamani Open Access Article Abstract Page Full-Text 21 - Prediction of the Log P of pesticides using multiple linear regression E. Mohammadinasab Open Access Article Abstract Page Full-Text 22 - Study of quantitative structure–property relationship for predicting the logP of pyrethroid derivatives using multiple linear regression method Mostafa Sadeghi Esmat Mohammadinasab Tahereh Momeni Isfahani Open Access Article Abstract Page Full-Text 23 - کاربرد مدل‌های ریاضی برای تخمین میزان انرژی قابل متابولیسم اقلام خوراکی انرژی‌زا در طیور M. Sedghi K. Tayebipoor B. Poursina M. Eman Toosi P. Soleimani Roudi Open Access Article Abstract Page Full-Text 24 - مقایسه کارآیی شبکه عصبی مصنوعی و رگرسیون چندگانه در پیش‌بینی وزن دنبه گوسفند م.ع. نوروزیان م. وکیلی علویجه Open Access Article Abstract Page Full-Text 25 - ارائه یک مدل شبکه عصبی RBF برای پیش‌بینی روزهای کاری عملیات خاک‌ورزی تولیدات محصولات ارمغان کوثری مقدم عباس روحانی Lobat Kosari-Moghaddam مهدی اسماعیل پور تروجنی Open Access Article Abstract Page Full-Text 26 - Comparison of multiple linear regression and machine learning algorithms inPredicting cash holdings samira seif mostafa yousofi tezerjan Open Access Article Abstract Page Full-Text 27 - Prediction of the GC-MS Retention Indices for a Diverse Set of Terpenes as Constituent Components of Camu-camu (Myrciaria dubia (HBK) Mc Vaugh) Volatile Oil, Using Particle Swarm Optimization-Multiple Linear Regression (PSO-MLR) Majid Mohammadhosseini 10.22034/jchr.2018.544059 Open Access Article Abstract Page Full-Text 28 - Novel QSPR Study on the Melting Points of a Broad Set of Drug-Like Compounds Using the Genetic Algorithm Feature Selection Approach Combined With Multiple Linear Regression and Support Vector Machine Alireza Jalali Mehdi Nekoei Majid Mohammadhosseini 10.22034/jchr.2016.544128 Open Access Article Abstract Page Full-Text 29 - Multiple Linear Regression Model for Prediction of Pupils Exposure to PM2.5 Yasser Baharfar Mahmoud Mohammadyan Faramarz Moattar Parvin Nassiri Mohammad Hasan Behzadi 10.22034/ap.2022.1951375.1127
