...人们一直关心的问题，近年来统计工作者提出了许多分析方法，总得来说可以分为两大类：一类称为函数近似(function approximation)，如可加模型(Hastie and Tibshirani,1986)，部分线形模型(Engle, et al; 1986)；另一类为降维(dimension reduction)，如SIR回归...
Finally, the proposed method is applied to the problem of nonlinear functionapproximation.
最后将所提出的方法用于解决非线性函数的逼近问题。
2
Presently it has been widely used in pattern recognition, functionapproximation and data mine etc.
目前，已被广泛应用于模式识别、函数逼近、数据挖掘等领域。
3
Functionapproximation is one of the most important ability of ANN, a function object can be replaced by an ANN model with functionapproximation ability.