… , response surface methodology (RSM) and artificial neural … RSM model, so ANN-GA
model possessed better prediction … Comparative study of response surface methodology and …

… An adsorption capacity prediction model was constructed … 响应面法(response surface
methodology, RSM)是一种 优化工艺条件的… A comparative study of the optimization of microwave …

… that the BPNN prediction model had good … study comparing the impact of experimental
error on the performance of experimental designs and artificial neural networks used for process …

… artificial neural network (ANN) to predict and improve product quality. Taguchi method (TM)
and response surface methodology (RSM… rate of response surface methodology prediction of …

… prediction models based on generalized regression neural network (GRNN) and response
surface methodology (RSM… 网络(Artificial neural network, ANN) 与响应面法(Response surface …

… 面法(response surface methodologyꎬ RSM)和人工神经网络-遗传算法(artificial neural network-…
Capacity prediction of lithium-ion batteries based on Wavelet noise reduction and support …

… forest method (RFM) and response surface method (RSM). … used as input variables in the
prediction models. A real-coded GA … A comparative analysis supported the superiority of the …

… The prediction model of regression equation obtained by using Design Expert software has
… , optimisation using response surface methodology (RSM) & comparison with artificial neural …

… 面法(response surface methodology,RSM)与反向传播人工神经网络法(back-propagation
artificial … in predicting extraction yield, and had higher accuracy and prediction advantages. This …

… techniques were used, including artificial neural networks (ANNs), support vector regression,
and extreme gradient boosting, to predict the surface … Prediction of an additional 10 test …