[1] ANSELIN L.Spatial econometrics:Methods and models[M].Berlin:Springer,1988. [2] CLIFF A D,ORD J K.Spatial autocorrelation[M].London:Pion,1981. [3] QU X,LEE L F.Estimating a spatial autoregressive model with an endogenous spatial weight matrix[J].Journal of Econometrics,2015,184(2):209-232. [4] 王惠文,顾杰,黄文阳,等.京津冀地区大气严重污染的主要影响因素分析[J].数学的实践与认识,2017,47(20):86-91.WANG H W,GU J,HUANG W Y,et al.The study on main influence factors of the serious atmosphere pollution in Beijing-Tianjin-Hebei region[J].Mathematics in Practice and Theory,2017,47(20):86-91(in Chinese). [5] 孙坚强,缪旖璇,张世泽.粤港澳大湾区的科技创新与经济增长[J].华南理工大学学报(社会科学版),2019,21(3):7-16.SUN J Q,MIAO Y X,ZHANG S Z.Technology innovation and economic growth of Guangdong-Hong Kong-Macao Greater Bay Area[J].Journal of South China University of Technolog(Social Science Edition),2019,21(3):7-16(in Chinese). [6] HAYKIN S.Neural networks:A comprehensive foundation[J].Neural Networks A Comprehensive Foundation,1994,31(5):71-80. [7] RUMELHART D E,HINTON G E,WILLIAMS R J.Learning representations by back propagating errors[J].Nature,1986,323:533-536. [8] 朱大奇.人工神经网络研究现状及其展望[J].江南大学学报(自然科学版),2004,3(1):103-110.ZHU D Q.The research progress and prospects of artificial neural netwoks[J].Journal of Southern Yangtze University(Nature Science Edition),2004,3(1):103-110(in Chinese). [9] MANN S,BENWELL G L.The integration of ecological,neural and spatial modeling for monitoring and prediction for semi-arid landscapes[J].Computers and Geosciences,1996,22(9):1003-1012. [10] LUK K C,BALL J E,SHARMA A.A study of optimal model lag and spatial inputs to artificial neural network for rainfall forecasting[J].Journal of Hydrology,2000,227(1):56-65. [11] PATRICK L M,CHRISTOPHER K W.Bayesian recurrent neural network models for forecasting and quantifying uncertainty in spatial-temporal data[J].Entropy,2019,21(2):184. [12] 池娇,焦利民.住宅房地产价格评估的空间型BP神经网络模型[J].地理空间信息,2017,15(2):86-90.CHI J,JIAO L M.Spatial BP neural networks in evaluation of residential real estate price[J].Geospatial Information,2017,15(2):86-90(in Chinese). [13] WANG W,ZHAO S,JIAO L,et al.Estimation of PM 2.5 concentrations in China using a spatial back propagation neural network[J].Scientific Report,2017,9(1):1-10. [14] ORD K.Estimation methods for models of spatial interaction[J].Journal of the American Statal Association,1975,70(349):120-126. [15] GOULARD M,LAURENT T,THOMAS-AGNAN C.About predictions in spatial autoregressive models:Optimal and almost optimal strategies[J].Spatial Economic Analysis,2017,12(2-3):304-325. [16] 刘会.当代中国农村土地流转的工业条件研究-基于全局莫兰指数与空间计量模型的研究[J].财经理论研究,2017(6):23-32.LIU H.An empirical analysis on the industry condition rural land transfer in contemporary China-with the Moran's I test and methods of SEM and SAR[J].Journal of Financial and Economic Theory,2017(6):23-32(in Chinese). [17] 朱庆生,周冬冬,黄伟.BP神经网络样本数据预处理应用研究[J].世界科技研究与发展,2012,34(4):624-626.ZHU Q S,ZHOU D D,HUANG W.Application research of preprocess in BP neural network sample data[J].World Sci-Tech Research and Development,2012,34(4):624-626(in Chinese). |