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pro vyhledávání: '"Tongke Fan"'
Autor:
Tongke Fan
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 1092-1100 (2021)
Leakage of electricity will cause damage to power facilities and lead to large-scale power outage. This not only caused huge economic losses to the country, but also seriously damaged the order of the power supply market, affected the normal life of
Externí odkaz:
https://doaj.org/article/3df4ac7700344b8a92e70ee4744049a6
Autor:
Qinwei Fan, Tongke Fan
Publikováno v:
Journal of Mathematics, Vol 2021 (2021)
Extreme learning machine (ELM), as a new simple feedforward neural network learning algorithm, has been extensively used in practical applications because of its good generalization performance and fast learning speed. However, the standard ELM requi
Externí odkaz:
https://doaj.org/article/1d4bdcafcd814ae482079ebc55861820
Autor:
Tongke Fan
Publikováno v:
E3S Web of Conferences, Vol 131, p 01118 (2019)
Aiming at the problem of disease diagnosis of large-scale crops, this paper combines machine vision and deep learning technology to propose an algorithm for constructing disease recognition by LM_BP neural network. The images of multiple crop leaves
Externí odkaz:
https://doaj.org/article/1caae3ab75aa4b48aeedc104d01dd86f
Autor:
Tongke Fan
Publikováno v:
Recent Advances in Computer Science and Communications. 14:1903-1911
Background: Roberts, Sobel, Prewitt and other operators are commonly used in image edge detection, but because of the complex background of agricultural pests and diseases, the efficiency of using these operators to detect is not ideal. Objective: To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2859cfac65fab98fccdfb84a67207f1
https://doi.org/10.2174/2666255813666191218112436
https://doi.org/10.2174/2666255813666191218112436
Autor:
Jing Xu, Tongke Fan
Publikováno v:
International Journal of Data Warehousing and Mining. 16:34-47
The automatic classification of crop disease images has important value. The classification algorithm based on manual feature extraction has some problems, such as the need for professional knowledge, is time-consuming and laborious, and has difficul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0477bdfd390e445985d6763f0e27701
https://doi.org/10.4018/ijdwm.2020040103
https://doi.org/10.4018/ijdwm.2020040103
Autor:
Tongke Fan
Publikováno v:
Recent Patents on Computer Science. 12:233-240
Background: Most of the common multi-user detection techniques have the shortcomings of large computation and slow operation. For Hopfield neural networks, there are some problems such as high-speed searching ability and parallel processing, but ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60a905061848b49b56bf38214b7dfbc4
https://doi.org/10.2174/2213275912666181210103742
https://doi.org/10.2174/2213275912666181210103742
Autor:
Tongke Fan
Publikováno v:
Proceedings of the 6th International Conference on Education Reform and Modern Management (ERMM 2021).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f867e74f417ca6381cb9ca9e6702950f
https://doi.org/10.2991/assehr.k.210513.042
https://doi.org/10.2991/assehr.k.210513.042
Autor:
Tongke Fan
Publikováno v:
Multimedia Tools and Applications. 77:10017-10031
Poor understanding and low clustering efficiency of massive data is a problem under the context of big data. To solve this problem, Canopy + K-means clustering algorithm is proposed, and the MapReduce programming model is used to make full use of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11e33941fdd4591e7ce883307c3bf01a
https://doi.org/10.1007/s11042-017-4825-4
https://doi.org/10.1007/s11042-017-4825-4
Autor:
Tongke, Fan
Publikováno v:
2013 International Conference on Computational & Information Sciences; 2013, p1277-1279, 3p