基于BP神经网络的煤炭企业转型程度评价

Evaluation of Transition Degree of Coal Enterprise Based on BP Neural Network

依据当前的煤炭形势背景,分析了多方面影响煤炭企业转型因素,筛选了相关指标并以此建立了煤炭企业转型程度评价体系。应用基于BP算法的多层前馈式神经网络构建了煤炭企业转型程度评价模型,并通过网络学习不断调节链接权重训练神经网络,最终以实例验证了评价模型的准确性和可靠性。

Based on the background of the current coal situation, this paper analyzes the factors affecting the transformation of coal enterprises in various aspects, and screens out the relevant indicators, and establishes the evaluation system of transformation degree of coal enterprises. The multi-layer feedforward neural network based on BP algorithm is used to construct the transition degree evaluation model of coal enterprises. And through the network learning constinuously adjusting the link juice to use training neural network, Finally, an example is given to verify the accuracy and reliability of the evaluation model.