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It is inevitable that the mechanical part has error when machining. To increasing the machining precision and decreasing the shape and position error, error compensation is one way. The geometry error parameter is necessary when the error compensation model is founded and the compensation data is calculated. The common measuring and identifying methods are introduced in this article. Their mathematic models and solutions are listed and their merits and drawbacks are compared. This method has been applied in CNC error compensation and the effect is advisable.

During the construction control in order to better control the elevation, the need for sensitivity analysis of the design parameters, the sensitivity analysis of design parameter adjustment principle, so as to adjust the measured deflection and deflection calculation error of judgment, and for the cross section should be the main design parameters of stress sensitivity. This method can identify accurately fast parameter error during the bridge construction, and ensure the smooth and long construction Liang Qiao. To provide reference for construction control of this kind of bridge deflection.

In order to improve the prediction accuracy of stock index, eliminate of the blindness of parameters selection for support vector machine, a stock index prediction method combined the genetic simulated annealing algorithm (GASA) which integrated the parallel search of genetic algorithm with the probabilistic sudden jumping characteristics of simulated annealing algorithm, with support vector machine (SVM) is proposed. Using daily data of Shanghai stock index opening quotation which is normalization processed, the stock index prediction model based on GASA-SVM is established. Optimal parameter error penalty parameter c=1 and Gaussian kernel parameter g=1.625 are obtained. Compared the result with GA-SVM prediction model, the comparative analysis shows that GASA-SVM(MSE= 0.000191111) model prediction capabilities are superior to GA-SVM(MSE=0.000018825) prediction model. It can provide valuable references for the investors.

The paper discusses the optimization technology and algorithm features in the hydraulic system simulation. It presents the realization in the package. Detailed description of the principle and development is shown, focused on parameter optimization by parameter error integration and genetic algorithm which are realized in the optimization module. The application is an example of hydraulic system of injection molding machine which showed the efficiency and capacity of the module. The comparison between curves of simulation and experiment indicated the achievements, to find optimized hydraulic parameters efficiently and quickly so as to shorten the design cycle.

Image restoration plays an important role in transportation applications. This paper studies a motion blurred image processing method, which has good recovery effect. In this method, first the wiener filter is used for image restoration. Then, based on the error parameter analysis, the parameters of point spread function are estimated, and the noise parameter is estimated by using the probability and statistics method. Furthermore, the ringing effect is processed by using the smooth boundary method. Finally, experimental results show that the proposed method can restore the motion blurred images effectively and has strong robustness for the noise.

As a tool of complex shape, the manufacturing error of hobs can be classed into three kinds: the datum level error, the tooth thickness error and the parameter error of helicoidal surface. The parameter error of helicoidal surface, which is composed of tooth error and helix error, is the most importance among them. For precision of hob and convenience of measurement, several individual errors are instead of the helix error. How to set reasonable individual errors to guarantee the helix error within tolerance, the relationship between them in gear hob measurements is analyzed, and the approach to decompose the helix error into individual error has been discussed in the paper. On the basis of above theory, a high precision mode can be easily established using the soft ware.