摘要
内装采购平台的运营环境和业务需求会随着时间的推移而发生变化,导致存在非线性关系,这就要求风险评估模型具有良好的适应性和泛化能力及时调整和适应新的情况,对此,提出基于CAFA-BP算法的内装采购平台组织架构风险评估。获取内装采购平台组织架构风险成因指标相关数据,并进行量化与归一化处理。构建一个BP神经网络模型,采用CAFA算法优化模型参数,解决平台该组织架构存在的非线性关系。向CAFA优化的BP模型中输入处理后的风险成因指标数据,经过模型学习估算并输出综合风险度,进而确定内装采购平台组织架构风险等级。通过实例分析验证了设计方法的有效性和准确性,能够取得良好的内装采购平台组织架构风险评估结果。
A risk assessment of the organizational structure of the interior procurement platform based on the CAFA-BP algorithm is proposed in this paper.Obtain relevant data on the risk factors of the organizational structure of the interior procurement platform,and quantify and normalize it.Build a BP neural network model,optimize model parameters using CAFA algorithm,and solve the nonlinear relationship existing in the organizational structure of the platform.Input the processed risk causation index data into the CAFA optimized BP model,estimate and output the comprehensive risk degree through model learning,and then determine the organizational structure risk level of the interior procurement platform.
出处
《工业控制计算机》
2025年第12期162-164,共3页
Industrial Control Computer
关键词
CAFA-BP算法
内装采购
采购平台
组织架构
风险评估
CAFA-BP algorithm
interior procurement
procurement platform
organizational structure
risk assessment
