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本文根据工程项目在施工中经常遇到的风险,建立风险指标评价集对工程项目进行综合评价,旨在使管理者能够事前对风险有充分的了解,在此基础上积极应对。本文根据BP神经网络的自组织,自学习和反向传播性的基本原理建立模型,并通过matlab软件中的神经网络工具箱实现模型的运行。
Based on the risk frequently encountered in the construction of the project, this article establishes a comprehensive evaluation of the project risk evaluation index set designed to enable managers to fully understand the risks in advance, on the basis of this positive response. Based on BP neural network self-organization, self-learning and reverse propagation of the basic principles of establishing a model, and by matlab software neural network toolbox to achieve model operation.