How statistical and mathematical tools commonly used independently can advantageously be exploited together was studied in order to improve neural network estimation and selection in nonlinear static modeling.

• 主要研究了如何将平时单独使用的数学方法和统计学方法根据它们各自的优点综合运用,以提高非线性建模过程中神经网络模型构建和选择的效率。