| Improving SVR and ANFIS performance using wavelet transform and PCA algorithm for modeling and predicting biochemical oxygen demand (BOD) A Solgi, A Pourhaghi, R Bahmani, H Zarei Ecohydrology & Hydrobiology 17 (2), 164-175, 2017 | 65 | 2017 |
| Forecasting Daily Precipitation Using Hybrid Model of Wavelet‐Artificial Neural Network and Comparison with Adaptive Neurofuzzy Inference System (Case Study: Verayneh Station … A Solgi, V Nourani, A Pourhaghi Advances in Civil Engineering 2014 (1), 279368, 2014 | 62 | 2014 |
| Pre-processing data using wavelet transform and PCA based on support vector regression and gene expression programming for river flow simulation A Solgi, A Pourhaghi, R Bahmani, H Zarei Journal of Earth System Science 126, 1-17, 2017 | 23 | 2017 |
| Manage the groundwater sources exploration of the Nourabad Plain in the drought conditions with MODFLOW modeling A Pourhaghi, AM Akhondali, F Radmanesh, SY Mirzaee Journal of Irrigation of Science and Engineering 37 (2), 71-82, 2014 | 10 | 2014 |
| Evaluation of artificial intelligence systems performance in precipitation forecasting A Solgi, F Radmanesh, A Pourhaghi, M Bagherian Marzouni TI J Agric Sci Dev 3 (7), 256-264, 2014 | 5 | 2014 |
| Improving the Performance of ANN Model, Using Wavelet Transform and PCA Methodfor Modeling and Predict Biochemical Oxygen Demand (BOD) F Radmanesh, A Pourhaghi, A Solgi Iranian journal of Ecohydrology 3 (4), 569-585, 2016 | 4 | 2016 |
| Simulation of Delfan-Lorestan aquifer and investigation of management scenarios by using MODFLOW model A Pourhaghi, F Radmanesh, A Maleki Water and Soil 29 (4), 886-897, 2015 | 4 | 2015 |
| Multi-Objective Optimization in Determine the Environmental Flows of the River H Noroozi, F Radmanesh, A Pourhaghi, A Solgi Journal of Watershed Management Research 9 (17), 14-25, 2018 | 3 | 2018 |
| Hybrid Usage of The Wavelet ransform and Intelligent to Simulation River Flow (Case Study: KaKa Reza and Sarab seyed Ali rivers) A Pourhaghi, A Solgi, F Radmanesh, M Shehni Darabi Irrigation and Water Engineering 8 (4), 1-17, 2018 | 3 | 2018 |
| Modeling and forecast biological oxygen demand (BOD) using combination support vector machine with wavelet transform A Solgi, A Pourhaghi, H Zarei, H Ansari Water and Soil 31 (1), 86-100, 2017 | 3 | 2017 |
| Predicting the input flow into the Dez dam reservoir using the optimized neural network by genetic algorithm A Pourhaghi, AMA Ali, F Radmanesh, HT Podeh, A Solgi International Journal of Engineering 2 (6), 2013 | 3 | 2013 |
| Forecasting monthly precipitation using a hybrid model of wavelet artificial neural network and comparison with artificial neural network A Solgi, H Zarei, A Pourhaghi, H Khodabakhshi Irrigation and Water Engineering 6 (3), 18-33, 2016 | 2 | 2016 |
| Modelling water scarcity for policy adaptation to future droughts under various stresses (case study: Delfan plain) A Pourhaghi, A Solgi, M Albaji, E Zoratipour International Journal of Global Warming 15 (1), 67-81, 2018 | 1 | 2018 |
| استفاده تلفیقی از تصاویر پردازش شده با موجک و سیستم استنتاج فازی عصبی جهت برآورد پارامتر EC رودخانه کارون پورحقی, آخوندعلی, زارعی, حیدر علوم و مهندسی آبیاری 43 (1), 205-219, 2020 | | 2020 |
| Scrutiny of base flow separation using natural monthly discharge A Eeidipour, A Pourhaghi, A Shokrolahi, H Yousefi Iranian journal of Ecohydrology 4 (3), 911-921, 2017 | | 2017 |
| Comparison of Anfis, Artificial neural network, and Gene expression programming to estimate the amount of Water hardness (Case study: Mazandaran Plain) R Dehghani, A Pourhaghi, M Kheiraey New Findings in Applied Geology 10 (19), 51-62, 2016 | | 2016 |
| Predicting the Input Flow Into the Dam Reservoir Using the Neural Network (Case Study-Dez Dam), Iran A Pourhaghi, AMA Ali Ecology Environment and Conservation, 2014 | | 2014 |
| Predicting the input flow into the dam reservoir using the neural network (case study: Dez Dam) A Pourhaghi, AMA Ali, F Radmanesh, HT Podeh, A Solgi | | |
