Ultrasonic Power Load Forecasting Based on BP Neural Network-Reference-Cited by-同舟云学术

Ultrasonic Power Load Forecasting Based on BP Neural Network

Published:2019-12-02 Issue:2 Volume:101 Page:383-390
ISSN:2250-0545
Container-title:Journal of The Institution of Engineers (India): Series C
language:en
Short-container-title:J. Inst. Eng. India Ser. C

Author:

Chen Xiwen^ORCID,Li Xiaoqian,Li Ruiqing

Funder

National Basic Research Development Program of China

National natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Ocean Engineering,Aerospace Engineering

Link

http://link.springer.com/content/pdf/10.1007/s40032-019-00549-3.pdf

Reference33 articles.

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3. Y.Y. He, L. Rui, H.Y. Li, S. Wang, Short-term power load probability density forecasting method using kernel-based support vector quintile regression and Copula theory. Appl. Energy 32(1), 254–266 (2017)

4. J.Q. Lou, Y.D. Wei, G.P. Li, Y.L. Yang, Optimal trajectory planning of a flexible manipulator for vibration suppression using genetic algorithm. J. Vib. Shock 35(6), 1–6 (2016)

5. Y. Cui, X.Q. Li, Effects of ultrasonic on micro-structures and solid solubility of main solute elements in aluminum alloy 7050. J. Cent. South Univ. (Sci. Technol.) 43(9), 3420–3425 (2012)

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