城乡客运一体化实现能力多层BP网络综合评价

Multi-Layer BP Neural Network Comprehensive Evaluation on the Ability to Integrated Passenger Transportation on the Urban and Rural Roads

为规划、决策、监督城乡客运一体化进程,在建立城乡客运一体化实现能力指标体系的基础上,构造了基于BP算法的城乡客运一体化实现能力综合评价模型。该模型具有较好的收敛速度和自适应能力,具有方便、准确、可靠、快速等特点。实例仿真和分析结果表明了该方法的有效性。

For planning, deciding and supervising the course of integrated passenger transportation on the urban and rural, based on the establishment of index system of the ability to implement integrated passenger transportation on the urban and rural, an improved BP based evaluation model is developed. The model can improve convergence speed and self-adaptability, and the algorithm has advantages of accuracy, convenience, reliability and rapidity. The comparison between simulation and empirical analysis proves this algorithm is effective.