【摘要】 以自然、行为、经济、技术、政治及组织六个方面的因素为输入层,工程项目整体风险程度为输出层,建立RBF神经网络模型,并以实际数据对该网络进行训练和测试。实践表明,采用该方法所获得的结果是令人满意的,从而展示了神经网络在工程项目风险管理中的广阔前景。更多还原

【Abstract】 Taking the factors in terms of nature,action,economy,technology and politics as the input layer,and the integral risk degree of the engineering project as the output layer,RBF neural network model was set up,and actual data were used for training and practice of the network,the practice showed that the result from adopting the method was satisfactory,thus the wide prospect of neural network in risk management of engineering projects were presented.更多还原