Zobrazeno 1 - 10
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pro vyhledávání: '"Gang Song"'
Autor:
Gang Song
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:2109-2120
At present, there are still many deficiencies in Chinese-Japanese machine translation methods, the processing of corpus information is not deep enough, and the translation process lacks rich language knowledge support. In particular, the recognition
Publikováno v:
Applied Intelligence. 50:1345-1366
Extreme learning machine (ELM) and its variants have been widely used in the field of object recognition and other complex classification tasks. Traditional deep learning architectures like Convolutional Neural Network (CNN) are capable of extracting
Publikováno v:
IEEE Access, Vol 8, Pp 34326-34338 (2020)
In this paper, we constructed a new rational fractal interpolation model with scale factors and shape parameters. The model obtains different expressions by changing the scale factor, according with the diversity of image features. On the basis of th
Publikováno v:
2021 4th International Conference on Energy, Electrical and Power Engineering (CEEPE).
The frequency regulation pressure of power systems with high renewable power penetration can be effectively relieved by wind power participating in auxiliary frequency regulation service. This paper presented an equivalent method for doubly fed induc
Autor:
Gang Song
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing.
The traditional Japanese text sentiment classification mainly relies on some domain experts to classify text sentiment according to their knowledge, which is time-consuming and laborious. In order to improve the effect of text sentiment classificatio
Publikováno v:
International Journal of Machine Learning and Cybernetics. 11:825-840
Noisy and nonstationary real-world time series predictions (TSPs) are challenging tasks. Confronted with these challenging tasks, the predictive power of traditional shallow models is commonly not satisfactory enough. While the research on deep learn
Publikováno v:
Procedia Computer Science. 154:531-536
In order to verify that multiple vehicle-mounted antennas do not appear electromagnetic interference due to integration on the same railway vehicle,an evaluation method suitable for electromagnetic compatibility of vehicle-mounted antennas is propose
Publikováno v:
Cognitive Systems Research. 52:1004-1012
Financial ratio plays a crucial role in business performance prediction, but the ability of the decision maker to use this method in adjusting management strategy has been extensively ignored. In this paper we attempt to build a fuzzy chance constrai
Publikováno v:
Neural Processing Letters. 50:1789-1829
The goal to improve prediction accuracy and robustness of predictive models is quite important for time series prediction (TSP). Multi-model predictions ensemble exhibits favorable capability to enhance forecasting precision. Nevertheless, a static e
Publikováno v:
Knowledge-Based Systems. 134:31-49
Extreme Learning Machine (ELM) has proved to be well suited to different kinds of classification and regression problems. However, failing to seek deep representation of raw data completely brought by shallow architecture has made a plenty of researc