Yi Peng

Classifying With Adaptive Hyper-Spheres: An Incremental Classifier Based on Competitive Learning

2017 · IEEE Transactions on Systems Man and Cybernetics Systems

Nowadays, datasets are always dynamic and patterns in them are changing. Instances with different labels are intertwined and often linearly inseparable, which bring new challenges to traditional learning algorithms. This paper proposes adaptive hyper-sphere (AdaHS), …

Meteorological Satellite Operation Prediction Using a BiLSTM Deep Learning Model

2021 · Security and Communication Networks

The current satellite management system mainly relies on manual work. If small faults cannot be found in time, it may cause systematic fault problems and then affect the accuracy of satellite data and the service …