Behavior prediction for Ochotona curzoniae based on wavelet neural network

doi:10.1007/978-3-319-42294-7_9

	Behavior prediction for Ochotona curzoniae based on wavelet neural network
	Chen, Haiyan 1,2; Zhang, Aihua 2; Hu, Shiya 2
	2016
会议日期	August 2, 2016 - August 5, 2016
会议地点	Lanzhou, China
关键词	Animals Behavioral research Computation theory Computer vision Feedforward neural networks Forecasting Intelligent computing Network layers Video recording Activation functions Behavior prediction Hidden layer neurons Ochotona curzoniae Prediction accuracy Qinghai Tibet plateau Short term prediction Wavelet neural networks
卷号	9772
DOI	10.1007/978-3-319-42294-7_9
页码	105-116
英文摘要	Ochotona curzoniae is one of the main biological disasters in the Qinghai-Tibet plateau and adjacent areas in China. Video-based animal behavior analysis is a critical and fascinating problem for both biologists and computer vision scientists. The behavior prediction for Ochotona curzoniae is a basis of Ochotona curzoniae behavior analysis in video recordings. In this paper, a three-layer wavelet neural network is proposed for short-term Ochotona curzoniae behavior prediction. A commonly used Morlet wavelet has been chosen as the activation function for hidden-layer neurons in the feed-forward neural network. In order to demonstrate the effectiveness of the proposed approach, short-term prediction of Ochotona curzoniae behavior in the natural habitat environment is performed, and we analyze the influence on prediction accuracy at various numbers of input neurons. The forecasted results clearly show that wavelet neural network has good prediction properties for Ochotona curzoniae behavior prediction compared with BP neural network. The model can assist biologists and computer vision scientists to create an effective animal behavior analysis method. The principle of our Ochotona curzoniae behavior prediction used wavelet neural network is helpful to other animal behavior prediction and analysis in video recordings. © Springer International Publishing Switzerland 2016.
会议录	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
会议录出版者	Springer Verlag
语种	英语
ISSN号	03029743
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117213]
专题	计算机与通信学院电气工程与信息工程学院
作者单位	1.School of Computer and Communication, Lanzhou University of Technology, Lanzhou, China 2.College of Electronic and Information Engineering, Lanzhou University of Technology, Lanzhou, China;
推荐引用方式 GB/T 7714	Chen, Haiyan,Zhang, Aihua,Hu, Shiya. Behavior prediction for Ochotona curzoniae based on wavelet neural network[C]. 见:. Lanzhou, China. August 2, 2016 - August 5, 2016.