基于神经网络算法的建设项目风险预测系统设计

Design of the Risk Forecast System of Construction Project Based on Neural Network

关键词:  建设项目  风险预测  神经网络算法

Key words:  construction project  risk forecasting  neural network arithmetic

摘要:

利用3层并行分布式人工神经网络连接模型和BP网络算法,以市场前景、资源、原燃料、动力供应、工艺、筹资、布局安全等为预测因子,建立建设项目BP网络风险预测模型,设计建设项目风险预测系统。该系统包括数据管理、模型管理、知识管理和模式转换4个典型组件。该系统实际预测建设项目的很好和失败两种情况时,具有良好的预测效果。

Abstract:

The three parallel and distributed artificial neural network connection model and BP network algorithm are used to set up BP network model to forecast construction project risk. The factors market prospects,resource,raw materials,power supply,technologies,financing,and location selection. The risk forecast system of construction project is designed. This system includes four parts which are datamanagement,model management,knowledge management,and mode transformation. The risk forecast system of construction project is applied and shows good result in the forecasts of very good and fail.