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	Diagonal recurrent neural network with output feedback and its application
	Liu, L.S. ; Peng, X.F. ; Peng XF(彭侠夫)
	2011
关键词	Computer science Computer simulation Dynamical systems Education computing Forecasting Learning algorithms Mathematical models Nonlinear dynamical systems Recurrent neural networks Time series
英文摘要	Conference Name:6th International Conference on Computer Science and Education, ICCSE 2011. Conference Address: Singapore, Singapore. Time:August 3, 2011 - August 5, 2011.; In this paper, a new diagonal recurrent neural network with output feedback model was proposed and applied to ship rolling time series prediction. On the basis of diagonal recurrent neural network, the output was feedback to hidden layer to form a new neural network structure. The new neural network and its mathematical model were given at first. Second, the learning algorithm and the update rule were presented in detail. Because of internal self-feedback, the diagonal recurrent neural network with output feedback can learn nonlinear dynamic system without knowing system order. Finally, the simulation results proved that the proposed model has good online prediction capability. ? 2011 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ICCSE.2011.6028636
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/87047]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Liu, L.S.,Peng, X.F.,Peng XF. Diagonal recurrent neural network with output feedback and its application. 2011-01-01.

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