Publisher
Springer Science and Business Media LLC
Subject
General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering
Reference57 articles.
1. Aghajani H, Marvi Mohadjer MR, Jahani A, Asef MR, Shirvany A, Azaryan M (2014) Investigation of affective habitat factors affecting an abundance of wood macrofungi and sensitivity analysis using the artificial neural network (case study: Kheyrud forest, Noshahr). Iran J For Poplar Res 21(4):617–628
2. Aghelpour P, Varshavian V (2020) Evaluation of stochastic and artificial intelligence models in modeling and predicting of river daily flow time series. Stoch Environ Res Risk Assess 34:33–50
3. Arriaza M, Cañas-Ortega J, Cañas-Madueño J, Ruiz-Aviles P (2004) Assessing the visual quality of rural landscapes. Landsc Urban Plan 69:115–125
4. Azimi Y (2019) Prediction of seismic wave intensity generated by bench blasting using intelligence committee machines. Int J Eng Trans A Basics 32(04):617–627
5. Azimi Y, Khoshrou SH, Osanloo M (2019) Prediction of blast induced ground vibration (BIGV) of quarry mining using hybrid genetic algorithm optimized artificial neural network. Measurement 147:106874
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