… Then, a grounding parameter prediction model was established to solve the problem of lag
in the acquisition of four grounding parameters, namely ground pitch angle, ground speed, …

… prediction of time series based on FCMs with information granules[J]. … Information
granulesbased BP neural network for long-term prediction of time … Fuzzy Systems, 2021, …

… 使用defect prediction,software defect prediction,fault prediction 及software fault prediction 等
… Applying feature selection to software defect prediction using multi-objective optimization. In…

… An evidential reasoning approach for multiple-attribute decision making with uncertainty[J].
IEEE Transactions on Systems, Man, and Cybernetics, 1994, 24(1): 1-18. DOI:10.1109/…

… of different models,synthesize predictions on the future distribution … to more precisely model
and predict the future change of … BIOMOD: optimizing predictions of species distributions and …

… This means that an optimal solution is … for process control, neural generalized predictive
control for industrial processes, intelligent system for forecasting, diagnosis and decision making …

… disease can occur repeatedly, predicting the disease is difficult. … recognize moyamoya disease
and predict hemorrhagic episodes, we … The accuracy of the model in predicting unilateral …

… new modeling approaches and improve prediction reliability, and … quality control and time
series prediction of water quality are … in the field of water quality prediction. There is an urgent …

… In addition, the BraTS challenge involves predicting overall patient survival by combining …
, the optimization strategies of deep learning, and future development trends. The optimization …

… , the results show that this model has good prediction performance. Keywords: soft … 5
Comparison of prediction results of three methods … 7 Scatter plot of butane concentration …