本文以30家房地产业上市公司为研究对象,以净资产收益率、市盈率等6项指标为评价指标,在matlab环境下构建了基于BP神经网络的财务绩效评价模型,并对模型进行了优化和验证。实验表明,所建模型克服了传统财务评价方法的局限性,在既定条件下具有很好的适用性和动态性。 In this paper, 30 real estate listed companies as the research object, the return on net assets, price-earnings ratio and other six indicators as the evaluation index in the matlab environment to build a BP neural network based on the financial performance evaluation model, and the model is optimized and verification. Experiments show that the proposed model overcomes the limitations of traditional financial evaluation methods and has good applicability and dynamics under given conditions.