基于MATLAB的BP神经网络企业财务模型优化分析

Optimization Analysis of Enterprise Financial Model of BP Neural Network Based on MATLAB

当前众多企业财务决策缺乏必要的仿真系统,财务管理存在一定风险性。本研究以MATLAB作为仿真平台,以BP神经网络作为模型算法构建出企业财务分析模型,该模型可对传统财务管理模式进行优化。对本研究构建的模型进行仿真测试,收集历史数据作为测试样本数据,研究表明本研究模型具有一定实用性,可用作财务分析及财务预警,并可为相关研究提供理论参考。

At present,many enterprises lack the necessary simulation system for financial decision-making,and there is a certain risk in financial management. In this study,MATLAB is used as the simulation platform,and BP neural network is used as the model algorithm to build the model of enterprise financial analysis. The model can optimize the traditional financial management model. The simulation test of the models developed in this study,the collection of historical data as the test sample data,the research indicates that the research model has certain practicability and can be used for financial analysis and financial early warning,and can provide a theoretical reference for the related research.