9 天前 - … Vector Machines models. Data on daily streamflow, daily maximum and minimum
water … used as input data in all models for forecasting daily suspended sediment discharge. …

11 天前 - … maximum algorithm aided by SPSS. A machine learning algorithm, Neural Network
was applied to forecast … used in this research to predict and model the risk of soil erosion in …

15 天前 - … For each water quality parameter, daily average, maximum and minimum …
Forecasting river water temperature time series using a wavelet–neural network hybrid modelling …

26 天前 - … of peak shifting and valley filling. In this model, BP neural network optimized by artificial
bee … The results show that the load prediction algorithm of ABC-BP neural network has a …

66 天前 - … consumption and a substantial peak-to-average ratio reduction of up to 44.86%.
Additionally, the application of the continuous wavelet neural network … an intelligent analysis of …

83 天前 - … to train regionally independent artificial neural networks to … US The model simulation
produces peak SWE estimates … all prediction location SWE observations from the model …

101 天前 - … The maximum revenue from day-ahead electricity market is … advantage of artificial
neural network (ANN) and QR model. … To evaluate the probabilistic forecasting models in this …

101 天前 - … and artificial neural networks (ANN) were constructed using per… , LSWT only models
returned lower prediction error (… in LSWT yield higher algal biomass peaks (at varying times …

103 天前 - … and can better capture the seasonal pattern and peak values of RWT. Input … artificial
neural network (RNN), consisting of interconnected nodes inspired by the biological neural …

103 天前 - … water resources is imperative (Simonovic, 2012). While optimizing river water use,
prediction of future flow characteristics of water … by high mountain peaks ranging in elevation …