To meet the requirements of rapid development of CAD,a general discussion on robust calculation of highway alignments is made and finally,an example of robust method on highway cross section calculation is presented and several conclusions are delivered.

Superplasticforming process design of titanium alloy bellows based on robust design method;

Process tolerance and its application to robust design;

Optimization of process parameters of fused deposition modeling based on robust design;

In this paper,the robust statistics base is introduced,and the properties of robust statistics are analysed.

The method, which has the advantages of the robust statistics, cokriging and factor analysis, is effective to extract the useful buried information.

Robust statistics as a new branch of chemometrics was developed to deal with the discrepancy between the assumed model and the data structure for which conventional statistics failed.

Application of robust estimation methods to anomaly appraisal of stream sediment survey in Xinhure area,Inner Mongolia;

Computing Road Line Type Parameters with Hough Transform and Robust Estimation;

Robust estimation and analysis of investigation data in forest resource.;

Advantages and defects of the commonly used steady designing method were analyzed in this paper,a general method was put forward to finishing off its shortcomings.

In this paper, the method of calculating rock shear strength value, C,f with the M robust estimate is presented, the calculating model and method are given.

Summing up the basic theories of the robust estimates for linear parametric models,this paper discussed the determination method of the weight-factor for M estimates,put forward the robust estimates of the semiparametric regression model,and derived the basic formulae .

In this paper,based on the fact that nonnormal values usually exist in the observed values, and making use of the thought of robust estimate in statistics,we construct new square error function,and get the new BP neural network algorithm.