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Set up emissions data of a total of m years, there are a total of n emission targets emissions data for each year. is the input of CO2 emissions set, is emissions set, the matrix of the X is represented by the matrix Set up a total of n indicators, represents the i-th year of j-th index.
First, according to Chinese CO2 emissions two decades from the raw data ,we use support vector machine model and the BP neural network model to predict the Chinese CO2 emissions next six years, and the results are shown in Table 3.
Routing Attribute Data Mining Based on Rough Set Theory [J].
International Journal of Data Warehousing and Mining (IJDWM), 2006,23:
Based on rough set relative attribute reduction algorithm and decision-making method research [D].

This paper concentrates on the knowledge discovery from peak load data.
Data description and preprocessing are shown in Section 3.
Data mining Tools Decision Tree.
SVM is a new and promising technique for data classification and regression[17].
Data description The study was conducted on the overall recorded load data and weather information of a city in southern China throughout 2010.

In the same way, the kinematic chain of the machine tool determines determines the position of the laser tracker and available space for data capture.
Mainly it provides a decrease in the time of preparation of data capture and subsequent treatment.
The influence of polynomial regression functions in error reduction are widely study on other papers
Test and results Using the parametric synthetic data generator [], an extensive study of the different verification methods of a machine tool with configuration XCFZ are realised.
Color maps The color map of figure 7 provides information on the error reduction at each of the point of the workspace.

Therefore, the samples of voltage tolerance of PC could be recorded as interval data.
Interval data of voltage tolerance level Models of Maximum Hybrid Entropy Entropy is one of the measures of uncertainty [8].
The system data are given in [15].
About 20 tolerance level data of PCs are measured from the laboratory test.
The sample data of voltage tolerance level are interval numbers from laboratory test.

Kumar et al. [6] used cryogenic treated copper electrodes to perform experiments in order to evaluate the machining efficiency of additive powder mixed electro discharge machining of Inconel 718 and observed significant reduction in tool wear rate and wear ratio.
Cryogenic treatments could cause growth of grains in microstructure of alloy and this phenomenon resulted in reduction of grain boundaries and thus reduction in electrical resistivity.
Based on data means, there is an increase in MRR for treated workpiece by 19%.
On the other hand, melting point of a material can decrease by reduction in hardness, which can be result of a cryogenic treatment and the reduction in melting point will increase MRR by electrical sparks [11].
According to data means, tool wear rate increases with gap current.

Environmental purchase is defined as purchasers’ involvement in supply chain management activities in order to facilitate recycling, reuse and source reduction(Carter,1998 ).
By being located at the beginning of the forward flow of materials within an organization, purchasing is placed in an advantageous position to implement resource reduction activities (Carter,Ellram and Ready,1998).
Research Design and Data Collection.Environmental performance in itself contains a number of standards.
Purchasing managers can ask upstream members of the suppliers in supply chain to be committed to environmental goals such as waste reduction, timber consumption reduction and emission of poisonous rubbish reduction.
Industrial Management & Data Systems , (1998)，pp313 - 320 [7] Sam Dzever et.al.

The membrane data: thickness: t=1mm, material density: ρ =2500kg/m3, material E-Modulus: 1000N/mm2, material tension stiffness: Et=1000N/mm, poisson’s ratio: ν=0.3, membrane initial prestress σ0 is 2Mpa, 3Mpa, 4Mpa and 5Mpa respectively.
The heavier Δm is, the larger the reduction will be.
The membrane data: thickness: t=1mm, material density: ρ=1500kg/m3, material E-Modulus: 1000N/mm2, poisson’s ratio: ν=0.3, membrane initial prestress σ0 is 2Mpa, 3Mpa, 4Mpa and 5Mpa respectively, cable E-Modulus: 2.0×105N/mm2, cable section area: 314 mm2.
The heavier Δm is, the larger the reduction will be.
But the fifth frequency only has little reduction.

The concentrations of N and P in Waihai were measured in laboratory and all the physicochemical data were measured on-the-spot in sample sites.
On account of the data needed were amounts and weighted average concentrations, the following formulas were used in present calculation: (1) (2) (3) (4) (5) Where mtw, mtp, mts means the total amount in water, pore water and sediment; Caw, Cas means the average concentration in water and sediment; Ci, Ai, Ti, Di, Pvwi means the concentration of pollutant, area of polygon, thickness of sediments, depth of water and percentage of volume water content in each Thiessen polygon, respectively; ρs means the dry soil density of sediments.
The reduction rate indicated that the preferential circulating species was the DTP, especially the PO43- which reached 68.7% of the reduction of DTP, which could be explained by the fact that the main form which was used directly by all kinds of biology and easily absorbed by sediments was DTP.
On the other hand, even though the insoluble phosphate (ISP) accounted for more than half of the reduction of TP, the reduction rate was just 25.9%.
The reduction of NH4+-N in the pore water was 68.2 t, while the increment in the water was just 8.3 t.

In order to avoid questionable results, it is necessary to use experimental data on not only the properties of the material, but also on its rheological behavior during actual deformation.
At the same time, an increase in the parameters of percent elongation δ5 and percent reduction of area ψ were on average at 23.4% According to the results of testing samples for KCU and changes in density (volume-weight hydrostatic weighing by the difference in theoretical (reference) and actual density of samples), КСU values increased by 5.7% and porosity by 24.1%.
Comparison of the calculation results of H and Λ parameters of the forging ingots using the isotropy and anisotropy hypotheses, with the ultrasound testing data for shaft forgings according to Western European DIN standards and American ASTM standards showed that the use of forging ingots with three-beam symmetrical B and asymmetric cross sections С helps to increase the yield of ultrasound-suitable forgings (class C/c with a permissible equivalent discontinuity diameter of ≤ 3 mm), both in the presence and absence of argon blowdown in the melt ladle prior to casting it into molds.
Sklyar, Features of deformation of partly crystallization blooms at their two-stage soft reduction, Materials Science Forum. 704-705 (2012) 1-5
Skliar and e.t.c Physical and Computer modeling of new soft reduction Process of continuously cast blooms, Journal of Chemical Technology and Metallurgy. 50 (2015) 12-17.

In a second step simulations were performed using a typical fcc hot rolling texture as starting texture (we used the data published in Zhao et al. [4]) We used the usual set of the twelve slip systems for the fcc lattice, i.e. the {111}<110> slip systems.
Figure 2 shows a comparison of the deformed meshes after a height a) b) c) d) Figure 1: The four different meshes used: a) 30x30 2D elements b) 30x1x30 3D elements c) 10x10x10 3D elements d) 10x100x10 3D elememts a) b) c) d) Figure 2: Side view of the deformed mesh after 60% height reduction. a) 2D model b) 3D model one element layer c) and d) 3D model 10 element layers; a) - c) random starting texture d) hot rolling texture as starting texture reduction of 60% for the 2D model and the 3D models with one and ten element layers, respectively.
In the following we will therefore concentrate on α-fibre plots, which show more clearly the a) Max: 19.3 b) Max: 18.5 Figure 3: ODF (ϕ2 = const. sections) after sixty percent height reduction with fully prescribed boundary condition, isoline levels 1, 2, 3, …, 10 a) 2D model b) 10x10x10 element mesh a) 0 10 20 30 40 50 60 70 80 90 0 1 2 3 4 5 6 f(g) ϕ1[°] 30x30 30x1x30 10x10x10 10x100x10 b) 0 10 20 30 40 50 60 70 80 90 f(g) ϕ1[°] 30x30 30x1x30 10x10x10 10x100x10 Figure 4: α-fibre plots for the 4 different models after 60% height reduction with fully prescribed boundary conditions a) direct comparison b) displaced curves differences between the models.
Figure 4 shows the final α-fibre for all four models with fully a) 0 10 20 30 40 50 60 70 80 90 0 1 2 3 4 5 6 f(g) ϕ1[°] 0% 24% 48% 60% b) 0 10 20 30 40 50 60 70 80 90 0 1 2 3 4 5 6 ϕ1[°] 0% 24% 48% 60% f(g) c) 0 10 20 30 40 50 60 70 80 90 0 1 2 3 4 5 6 f(g) ϕ1[°] 0% 24% 48% 60% d) 0 10 20 30 40 50 60 70 80 90 0 1 2 3 4 5 6 f(g) ϕ1[°] 0% 24% 48% 60% Figure 5: Development of the α-fibre with increasing deformation for the four meshes studied and fully prescribed boundary conditions a) 30x30 2D elements b) 30x1x30 3D elements c) 10x10x10 3D elements d) 10x100x10 3D elements prescribed boundaries after 60 % height reduction.
We used the data as given in [4], that is we used one near cube component (ϕ1 = 197.87°, φ = 6.47°, ϕ2 = 245.00°) with 15.27° scatter and a volume fraction of 29.03 % the remaining 70.97 % are modelled by one random component, moreover we assumed orthorhombic sample symmetry.