QQ客服 官方微博 反馈留言

浏览/检索结果: 共1条，第1-1条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Space camera focusing forecast based on RBF network (EI CONFERENCE) 会议论文 Computational Intelligence and Intelligent Systems: 4th International Symposium, ISICA 2009, Huangshi, China, October 23-25, 2009. Proceedings, Tiergartenstrasse 17, Heidelberg, D-69121, Germany Wu X.; Liu J.; Yu D. 收藏  |  浏览/下载：16/0  |  提交时间：2013/03/25 As circumstance temperature of space camera changes  flex of structural components and distortion of optical components lead to change of focal length and image quality. Radial Basis Function (RBF) network is used to approximate the complex nonlinear relation between focalization quantity  image quality  temperature level and axial temperature difference of space camera. After the RBF Network is trained with thermo-optical experiment data  temperature level and axial temperature difference could be input to the network to obtain colder value of best image position. In this way focusing forecast under different temperatures can be realized. Results of focusing forecast experiment validate this method. 2009 Springer-Verlag Berlin Heidelberg.