神经网络法在高速公路社会影响评价中的应用

Application of Neural Network in Comprehensive Evaluation Method of Highway Social Benefit

介绍了通过神经网络模型进行高速公路社会效益评价的方法,针对神经网络方法在社会评价中的不足,提出了细化数据采集粒度。在对模型进行充分训练之后,对高速公路影响带内的各个小区进行评价,并且对评价结果进行综合分析。

Methods of social - benefit evaluation by employing neural network are introduced. Aiming at solving the problem of over - evaluation of highway, itemization of data collection is proposed. After fully training on the model, valuations on the blocks influenced by highway are processed and the valuation results are synthesized.