人工神经网络技术在矿区土地复垦中的应用

针对中国土地复垦起步晚，新技术与新理论应用较少的问题，研究利用人工神经网络来辅助土地复垦的决策。介绍了利用自组织映射神经网络的自动分类功能对进行矿区土地复垦条件分类，为因地制宜地采取复垦措施提供依据。然后，基于BP神经网络，选取评价因子，通过对已有经验的学习，对复垦土地适宜性进行评价，并与传统的方法相比较，研究结果表明，利用人工神经网络辅助矿区土地复垦决策是可行的。

Application of artificial neural network technology in land reclamation of mining area

In the view of the late development of land reclamation and fewer of application of new technology and theory, the artificial neural network is introduced to aid the land reclamation decision. Self Organizing Map Neural Network (SOM) that has the capability of classifying automatically is used to classify the reclamation condition, which provides the base for adopting suitable reclamation method. Then, Back Propagation Neural Network is used to evaluate the suitability of reclamation land through choosing factors and studying the existing experiences, which obtains good result compared with the traditional method. The research demonstrates that the application of ANN in land reclamation is feasible.