This paper proposes the adaptive coupling coordination degree and adaptive coordination interval for the population and economic system, then employs the RBF network learning algorithm to realize the warning strategy and the analysis of influencing factors for the coordinated development between population and economic system for Ningxia's Yinchuan and Shizuishan.First, the adaptive coupling coordination degree as well as the adaptive coordination interval is introduced to formulate an adaptive warning strategy for the development relationship between population and economic system.Second, a three-layer network learning model is employed to determine and analyze the key factors affecting the coupling and coordinated development between population and economic system.Finally, the approach proposed in this paper is applied to Yinchuan and Shizuishan, based on which key factors are determined and interpreted for the coupling and coordinated development between population and economic system in these two cities.