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		题名	作者	年代	出处	被引量
	1	A fast learning algorithm of neural network with tunable activation function显示文摘This paper presents a modified structure of a neural network with tunable activation function and provides a new learning algorithm for the neural network training. Simulation results of XOR problem, Feigenbaum function, and Henon map show that the new algorithm has better performance than BP (back propagation) algorithm in terms of shorter convergence time and higher convergence accuracy. Further modifications of the structure of the neural network with the faster learning algorithm demonstrate simpler structure with even faster convergence speed and better convergence accuracy.	SHENYanjun WANGBingwen	2004	Science in China(Series F)2004，47，1：	11
	2	Evaluating Urban Expansion and Land Use Change in Shijiazhuang,China by Using GIS and Remote Sensing显示文摘	Xiao Jieying ShenYanjun Ge Jingfeng	2006	Landscape and Urban Planning2006，，75：	1
	3	ON THE PARTIAL EQUIASYMPTOTIC STABILITY OF NONLINEAR TIME-VARYING DIFFERENTIAL EQUATIONS显示文摘In this paper, the problem of partial equiasymptotic stability for nonlinear time-varying differential equations are analyzed. A sufficient condition of partial stability and a set of sufficient conditions of partial equiasymptotic stability are given. Some of these conditions allow the derivative of Lyapunov function to be positive. Finally, several numerical examples are also given to illustrate the main results.	JianJigui JiangMinghui ShenYanjun	2005	Annals of Differential Equations2005，21，1：	0

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