The author proposed that enhancion the discrimination for the model's functional quantities is an effective approch for increasing the accuracy of model.

Based on the idea that the accuracy of model could be significantly improved by combining several sub-models,a multiple support vector machine(MSVM)modeling approach was proposed to build the soft sensor model.

Combined with field test, it builds three-dimension model of concrete floor and fastening board support system applying for numerical simulation, analyzes variable relation of poling、level pole and bridging, and compares with test value to prove accuracy of model.

However, there are many problems to be solved with it on the acquisition of 3D data, the accuracy of model representation, the complexity and the robustness of algorithms.

The results showed that the model has fairly high accuracy. When the required absolute error was within ±3×10~(-6),the accuracy of model can reach 61.54%;

From the comparison, we can conclude that the simulation accuracy of model a, 84.06%, is highest, while the simulation accuracy of model b, Pruitt method, Businger method, Dyer method and energy balance Bowen ratio method is 79.47%, 59.85%, 53.81%, 52.07% and 41.15%, respectively.

Experimental measurements are subsequently performed to check the accuracy of model predictions, and it is shown that the proposed model can be used to quantitatively control the microstructure of porous metals during infiltration processing.

The paper further analyzes the effect of length of data series on accuracy of model results.

Calculated salt concentration was compared with observed soil composition to assess the accuracy of model calculations.

We found that spatial correlation exists in stream chemistry data at a relatively coarse scale and that geostatistical models consistently improved the accuracy of model predictions.

We examined the quality and accuracy of model outputs after making two major modifications.

The development of holographic interferferometry has provided a new analytical tool of exceptional potentialities for the the study of static, dynamic and thermal rigidity of machine tools. In this paper, a short-cut calculation method of normal displacements and amplitudes ofm achine tools based on the frings of holography has been developed. Its advantages are: the holographic arrangements and calulation procedures are rather simple and the calculation results agree with those measured by other methods, thus...

The development of holographic interferferometry has provided a new analytical tool of exceptional potentialities for the the study of static, dynamic and thermal rigidity of machine tools. In this paper, a short-cut calculation method of normal displacements and amplitudes ofm achine tools based on the frings of holography has been developed. Its advantages are: the holographic arrangements and calulation procedures are rather simple and the calculation results agree with those measured by other methods, thus enabling the inherent drawback of troublesome calculation of displacements in ordinary holographic technique can be overcome. This paper also analyses the factors which influence the accuracy of model test of structural dynamic rigidity, and point out the correct principles to be followed in experimental work.

By using the mathematical experiment method of adding random error in the calculating value of model as experimental data, with three-component M~α(?) syatem as an example, statistical characteristics of three estimating parameter methods arc discussed and compared. These methods were used in estimating parameters of the hyperbolic kinetic model of complex reaction network at an earlier time. It is demonstrated that trial and error-matrix method has an excellent statistical characteristic and is more satisfactory...

By using the mathematical experiment method of adding random error in the calculating value of model as experimental data, with three-component M~α(?) syatem as an example, statistical characteristics of three estimating parameter methods arc discussed and compared. These methods were used in estimating parameters of the hyperbolic kinetic model of complex reaction network at an earlier time. It is demonstrated that trial and error-matrix method has an excellent statistical characteristic and is more satisfactory for obtaining the accurate parameters than Wei-Prater method, and that the classical curve fitting method has an inferior statistical characteristic and the random error vigorously affects the accuracy of model parameters. The third method can not be well used in the study on estimating parameters of the complex kinetic model.

This paper outlines the basic Atmospheric Diffusion Models (ADM) and integrated models which are based on the principle of selecting models in CZEMIS. The principle of software engineering is adopted to make the structure design for ADM and a software package is established. The pollutant distribution for different metereological conditions, different location and emitting feature of pollution sources, and the average of different period can be obtained with the help of the package. This package...

This paper outlines the basic Atmospheric Diffusion Models (ADM) and integrated models which are based on the principle of selecting models in CZEMIS. The principle of software engineering is adopted to make the structure design for ADM and a software package is established. The pollutant distribution for different metereological conditions, different location and emitting feature of pollution sources, and the average of different period can be obtained with the help of the package. This package can also be used to examine the accuracy of models, adjust parameters, and give graphics to indicate the pollutant distribution.