… At the same time, the neural network model and the … , and its precision affects the precision
of the reliability model. In this paper… of estimating parameters by neural network and empirical …

… Proposed model is based on 3D Convolution Neural Network, the established network …
to evaluate the accuracy of model under the high precision of short-term rainfall forecast in a …

… neural network ,the GA-Elman model has the characteristics of global convergence and can
overcome the fault that Elman neural network … The result showed that the forecast precision …

… How to ensure the precision of the continuous imaging … correction model based on BP neural
network. For validation purpose, … The statistical analysis showed that the BP neural network …

… a short time. Three dimensional spatial surface interpolation gets the highest precision, which
… The precision of BP neural network fitting method is between these two methods, it can be …

… We introduce the use of a deep convolutional neural network (CNN) on raw EEG samples
for supervised learning of sleep stage prediction, which does not require any signal …

… In this study, the data has been processed, and the improved convolutional neural network
algorithm (CNN-EI) was used to perform data mining on the dataset of diabetic case data. …

A method for WENO reconstruction based on the artificial neural network (ANN) is proposed,
which uses the ANN to approximate the non-linear weights in WENO-JS, where the input of …

… , so that the neural network has a focus on learning … time domain modeling across the entire
video segment. Finally, action recognition is performed through an improved neural network …