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Proceedings Paper

Application of artificial neural network to an inverse design of an electron gun's main lens
Author(s): Yan Tu; Xuefei Zhong
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Paper Abstract

Artificial neural network is used in the inverse design of an electron gun's main lens in this paper. The relationship between electron spot on the screen and the structure of the main lens is investigated. According to the requirement of the spot on the screen, the structure of the main lens is investigated. According to the requirement of the spot on the screen, the structure of the main lens can be obtained through the trained network in a short time. The complex electron optic simulation can be avoided. It shows that the artificial neural network method is an effective tool to solve the inverse designing problem in the electron optic system.

Paper Details

Date Published: 21 December 2001
PDF: 8 pages
Proc. SPIE 4510, Charged Particle Detection, Diagnostics, and Imaging, (21 December 2001); doi: 10.1117/12.451275
Show Author Affiliations
Yan Tu, Southeast Univ. (China)
Xuefei Zhong, Southeast Univ. (China)


Published in SPIE Proceedings Vol. 4510:
Charged Particle Detection, Diagnostics, and Imaging
Eric Munro; John A. Rouse, Editor(s)

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