期刊： NEURAL NETWORK WORLD, 2021; 31 (2)
Graph generative adversarial network has achieved remarkable effectiveness, such as link prediction, node classification, user recommendation and node......
期刊： NEURAL NETWORK WORLD, 2021; 31 (3)
The prediction and analysis of surrounding rock deformation is a primary risk assessment method in tunnel engineering. However, the accurate predictio......
期刊： NEURAL NETWORK WORLD, 2020; 30 (3)
Radial basis function (RBF) has been extensively applied for surface reconstruction from scattered 3D point data due to its strong ability of approxim......
期刊： NEURAL NETWORK WORLD, 2020; 30 (3)
Knowledge graphs have been playing an important role in many Artificial Intelligence (AI) applications such as entity linking, question answering and ......
期刊： NEURAL NETWORK WORLD, 2020; 30 (1)
Interpersonal communication can be done by understanding the clues of facial expressions. As its importance increase in behavior and clinical studies,......
期刊： NEURAL NETWORK WORLD, 2020; 30 (1)
There always exist parametric uncertainties, bounded disturbances and some other unknown nonlinearities such as the input dead-zone in physical motor ......
期刊： NEURAL NETWORK WORLD, 2020; 30 (4)
ECG anomaly detection plays an important role in clinical medicine. So far, a number of ECG recognition technologies have emerged in this field, but m......
期刊： NEURAL NETWORK WORLD, 2020; 30 (4)
Earthquake prediction is an extraordinarily stochastic process. Determining the occurrence time, location of epicenter and magnitude of a coming earth......
期刊： NEURAL NETWORK WORLD, 2020; 30 (4)
Permutation Flow-Shop Scheduling Problem (PFSP) which exists in many manufacturing systems is a classic combinatorial optimization problem. Studies ha......
期刊： NEURAL NETWORK WORLD, 2020; 30 (5)
The latest development of neural word segmentation is governed by bi-directional Long Short-Term Memory Networks (Bi-LSTMs) that utilize Recurrent Neu......
期刊： NEURAL NETWORK WORLD, 2019; 29 (2)
Numerous studies have demonstrated that the neural network model can achieve satisfactory performance in various natural language processing (NLP) tas......
期刊： NEURAL NETWORK WORLD, 2019; 29 (2)
Rapid and accurate prediction and evaluation of accident consequences can provide scientific basis for decision-making of nuclear emergency measures. ......
期刊： NEURAL NETWORK WORLD, 2019; 29 (1)
Prediction problems with small sample size are problems which widely exist in engineering application. Because lazy prediction algorithms can utilize ......
期刊： NEURAL NETWORK WORLD, 2019; 29 (3)
Conscious decision making is one of the important functions of human behavior. Episodic memory is the source of knowledge for conscious decision makin......
期刊： NEURAL NETWORK WORLD, 2019; 29 (5)
In order to improve the accuracy of convolutional neural networks (CNN) in imbalanced dataset classification, a novel hierarchical CNN-LSVM is propose......
