… output variable in the establishment of support vector regression model. In order to improve
… parameter optimization. Finally, the predicted values of the residual were integrated with the …

… Traffic flow forecasting model by Support Vector Machine optimized by genetic algorithm[J]. …
Support vector machine based ground water level monitoring model by using remote scence …

… description of agricultural drought, and DNN model driven by meteorological and circulation
… the regional drought change, as well as other outputs of prediction model. Evaluation of the …

… Hydrological and meteorological droughts in the Red River Basin of Yunnan Province based
… mance optimization analysis for inflow prediction using wavelet Support Vector Machine. …

… Hyperspectral imaging using multivariate analysis for simulation and prediction of … on
optimal binary tree support vector machine[J]. Transactions of the Chinese Society of Agricultural …

… Development of agricultural drought monitoring model using … Wheat powdery mildew
forecasting in filling stage based on … hyperspectral image and genetic optimization neural network. …

… irradiance forecasting based on a hybrid CNN⁃LSTM model … ⁃term prediction of wind
power based on optimized neural … is compared with that of the support vector machine,multi⁃layer …

… of runoff forecast, we construct combined prediction models by … ) support vector regression
(SVR) algorithm optimized using the … (hybrid Gray Wolf optimization,HGWO)来对支 持向量回归(…

… on Bayesian optimization (sequential model-based optimization for general … regression
neural network, an extreme learning machine, and a support vector regression runoff prediction …

… This paper proposes the comparative study of morphometric parameters using different data
… input for proper hydrological studies such as Runoff estimation, Flood forecasting and so on…