机构地区: 交通部科学研究院
出 处: 《西安公路交通大学学报》 2000年第3期62-66,共5页
摘 要: 以四川省内江市区域经济为例 ,运用人工神经网络方法 ,定量分析了影响区域经济各因子的主次顺序 ,为高速公路社会效益量化的变量选择提供了一种研究方法。应用人工神经网络选择变量的方法可进一步推广运用于不同领域 ,为在众多指标变量中科学选取变量提供了可靠依据。 An artificial neural networks approach is put forward to study variables choice of \{expressway\} social benefit quantification. Taking Neijiang city in China as an example, the \{influence \}variables on regional economy are arranged in order according to its influencing level and are analyzed quantitatively. The variables choice model is developed. The variables choice method of utilizing artificial neural networks can further popularize to other domians and provides \{anthentic \}theory foundation for scientifically choosing important variables from multitudinous variables.