Time series forecasting using neural networks
APL '94 Proceedings of the international conference on APL : the language and its applications: the language and its applications
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In order to study the new method of the evaluation of intensive land use in development zone, the author apprised the intensity of those development zones in Zhejiang based on artificial neural network and tried to explore the new way to improve the intensity and tabled proposals. In the study, methods of artificial neural network and empirical analysis were employed. The research results indicated that: (1) Generally, the level of land intensive use in Zhejiang province was high, not only the land use efficiency, but also the structural condition of land were higher than the national average and also took the leading position in Yangtze river delta area; (2) There existed spatial differences and it could be described as east was high, middle was average, north and south was low; (3)The intensity was associated with economic development and the correlative coefficient was as high as 0.903. From the above, the author concluded that BP artificial neural network was able to overcome the adverse impact of man-made on the evaluation results and had great practical value.