STUDY ON THE INTEGRATED PRICE IN A SECTION DEMARCATED FOR LAND EXPROPRIATION BASED ON THE MODEL OF THE BP NEURAL NETWORK
提出基于BP神经网络的征地片区综合价格评估方法，以雅安为例验证了该方法在模拟真实征地价格上的可行性和先进性。
The paper puts forward the basic structure of the integrated land section price based on the theory of BP artificial neural networks.The index system of the integrated land section piece evaluation are given and their calculations are also given.The authors take the Ya'an integrated land section piece for example,and analyze the Characteristic Indexes for special tracts,and use improved BP Neural Networks to trained simulate the realistic price in a section demarcated for land expropriation.The results of simulation shows that the BP ANN method for evaluating the integrated land section price is feasible and advanced in performance.