Research on application of interpolation and fitting method in magnetization curve numeralization

Wu, Qinghui; Cui, Zongze; Li, Lin

doi:10.1109/icicip.2011.6008417

Cited by 3 publications

(2 citation statements)

References 5 publications

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“…In addition, in order to reduce the oscillation trend of the learning process and improve its convergence, the past accumulated experience is considered in the learning algorithm and the improved learning algorithm based on momentum is put forward as following 1 1…”

Section: Y F Net Netmentioning

confidence: 99%

“…In reference [1], a composite method, which compounds the least square method and interpolation method, is utilized in the numeralization of the magnetization curve. In reference [2], the compound method, in which the similar law and the mapping method are combined, is used to determine the working conditions of the watering and drainage system with back pressure.…”

Section: Introductionmentioning

confidence: 99%

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Research on parameters identification based on adline neural network for characteristic equation of pump

Zhao

Ding

et al. 2011

The Fourth International Workshop on Advanced Computational Intelligence

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The digitization of the pump characteristic curve between lift and flow rate is crucial for state detection, fault diagnosis and optimal control of large watering and drainage system in modern industry. In this paper, the characteristic equation of pump is analyzed, an adline neural network is designed for parameters identification for the pump characteristic equation. The proposed scheme solves the question how to measure the characteristic equation in arbitrary speed, raises the identification precise with adaptive filtering, learning, and approaching function of adline neural network. The experiment results confirm its feasibility and effectiveness.

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Section: Y F Net Netmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%