Wind Shear Forecasting by Chaotic Oscillatory-based Neural Networks (CONN) with Lee Oscillator (Retrograde Signalling) Model

doi:10.1109/IJCNN.2008.4634078

科研成果详情

题名	Wind Shear Forecasting by Chaotic Oscillatory-based Neural Networks (CONN) with Lee Oscillator (Retrograde Signalling) Model
作者	Wong, Max H. Y.1; Lee, Raymond S.T.2 ; Liu, James N. K.1
发表日期	2008
会议名称	International Joint Conference on Neural Networks
会议录名称	2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8
ISBN	9781424418206
ISSN	2161-4393
页码	2040-2047
会议日期	JUN 01-08, 2008
会议地点	Hong Kong, PEOPLES R CHINA
摘要	Wind shear is a conventionally unpredictable meteorological phenomenon which presents a common danger to aircraft, particularly on takeoff and landing at airports. Ibis paper describes a method for forecasting wind shear using an advanced paradigm from computational intelligence, Chaotic Oscillatory-based Neural Networks (CONN). The method uses weather data to predict wind velocities and directions over a short time period. This approach may have a wide variety of applications but from the aviation forecast perspective, it can be used in aviation to generate wind shear alerts.
DOI	10.1109/IJCNN.2008.4634078
URL	查看来源
收录类别	CPCI-S
语种	英语English
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Cybernetics ; Engineering, Electrical & Electronic
WOS记录号	WOS:000263827201074
Scopus入藏号	2-s2.0-56349108202
引用统计	被引频次：8[WOS] [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/7817
专题	个人在本单位外知识产出
通讯作者	Wong, Max H. Y.
作者单位	1.Hong Kong Polytech Univ, Dept Comp, Hong Kong, Hong Kong, Peoples R China 2.LATOPLA Res Centre, Hong Kong, Peoples R China
推荐引用方式 GB/T 7714	Wong, Max H. Y.,Lee, Raymond S.T.,Liu, James N. K. Wind Shear Forecasting by Chaotic Oscillatory-based Neural Networks (CONN) with Lee Oscillator (Retrograde Signalling) Model[C], 2008: 2040-2047.