A novel approach for prediction of monthly ground water level using a hybrid wavelet and non-tuned self-adaptive machine learning model

. (2019). A novel approach for prediction of monthly ground water level using a hybrid wavelet and non-tuned self-adaptive machine learning model. Water Resources Management, 33(4), 1609-1628. SID. https://sid.ir/paper/694568/en

. A novel approach for prediction of monthly ground water level using a hybrid wavelet and non-tuned self-adaptive machine learning model. Water Resources Management[Internet]. 2019;33(4):1609-1628. Available from: https://sid.ir/paper/694568/en

, “A novel approach for prediction of monthly ground water level using a hybrid wavelet and non-tuned self-adaptive machine learning model,” Water Resources Management, vol. 33, no. 4, pp. 1609–1628, 2019, [Online]. Available: https://sid.ir/paper/694568/en