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The experimental data were collected to obtain training set and testing set.
The results of the ANN model were in good agreement with experimental data.
Finally, 59 groups of data were obtained by experimented.
But, the neural network can be easily over-fitting, which causes the error rate on new unseen data to be much larger than the error rate on the training data.
Fig. 2 shows the root mean square error for both testing data and training data for various numbers of units in the hidden layer by means of trainbr algorithm.

Tel:+86-411-84106890, Fax: +86-411-84106890, E-mail: mujun@djtu.edu.cn Keyword microbial reduction oxidation method Fe3O4 nanoparticle sulfate-reducing bacterium Abstract By using microbial reduction combining natural oxidation method, magnetic Fe3O4 nanoparticles have been synthesized.
This paper prepared magnetic Fe3O4 nanoparticles by using microbial reduction combining natural oxidation method, the new method is first reported in this paper.
Data and information of the Figure 3 shows atomic ratio of O and Fe in the sample is approximately equal to 1.
It has stated that FeS nanoparticles is thoroughly turned into FeO nanoparticles, Figure 4 is EDS (energy dispersive spectroscopy）Spectrum and Element analysis of product , Data and information of the Figure 4 shows atomic ratio of O and Fe in the sample is approximately equal to 1.128.
SEM images of FeO and Fe3O4 Conclusions In summary, the magnetic nano Fe3O4 materials have been successfully synthesized by using microbial reduction combining natural oxidation method.

To use data mining technology, firstly, we must ensure that the historical data adapt to data mining, which needs data preparation, that is data preprocessing.
Data preprocessing includes three parts: 1) Data selection: Data selection is to collect the internal data and external data related to the information of load,and to choose the data applyed to data mining.Data selection, including attribute selection and data sampling is to select data fields and tuples in the data source.
Data integration is to put datas into unique data store[3].
Raw data through data selection, cleaning, integration and conversion generate the data mining library,to prepare for data mining.
It is denoted by IND (P) Reduction and Relative Reduction.

Degradation of Azo Dyes by the Reduction and Oxidation with Nano Sized Zero Valented Iron B.H.
Pre-reduction by nZVI could convert azo dye to products whose oxidation is more degradable and therefore enhances the removal efficiency.
The successful use of ZVI has been reported to decolorize azo dye solution by reduction of the -N=N- bond at the iron surface [2,3,4,5].
The laboratory synthesized nZVI used in this study had the specific surface area of 27.9m2/g, which is smaller than the data reported in the literature.
Compared to various H2O2 dosages, pre-reduction of Orange II with nZVI enhanced the TOC removal by 5~15%.

However, there is a need to customize those tools according to the nature of the data type.
In this case, the observed data is defective rate, which is an attribute data.
Thus, relevant literatures regarding the analysis of attribute data need to be reviewed.
This data shows the vital few and trivial many behavior of Pareto’s principle.
Since the measurement is an attribute data, Attribute Agreement Analysis was then performed.

In point cloud data pre-processing, salient outliers are manually removed; Gaussian filter is used for noise suppression; curvature-based sampling is adopted for data reduction.
Data reduction is needed for high efficiency.
In the encircle box reduction, an encircle box which is composed of a quadrangle is used to filtrate data inside or outside the box.
The reduction results of the point cloud data shows in Fig.4.
Then, Gaussian filter, curvature-based sampling data reduction, etc. are used in data pre-processing.

Yeager et al. [1]-[4] studied the reaction kinetics in the oxygen reduction reaction to found that the two-electron reduction and the four-electron reduction goes simultaneously.
And the set values of the parameters are reasonable, for the data from the calculation are within the effective range.
The simulation data shows that the bond between O1 and Pt breaks when the H3 is close to O1.
Electrocatalysts for O2 reduction, Electrochim Acta. 29 (1984) 1527-1537 [2] Miah R, Ohsaka T.
Recent advances in the kinetics of oxygen reduction.

Failure Mechanism of a slope anti-sliding pile Lin Chen1,a,Yong Yao2,b,Jiong Yang3,c, and Zhaoqiang Zhang4,d 1,2,3,4 Collage of Civil Engineering and Architecture, Southwest University of Science and Technology, Mianyang,China a719197246@qq.com,byy001221@163.com,cjionyang@tom.com,d52282843@qq.com Keywords: finite element strength reduction method,anti-sliding pile,slope engineering.
Abstract:According to finite element strength reduction method，the article has discussed the failure mechanism of anti-sliding pile by using finite element software MIDAS /GTS , exploration report and anti-sliding pile design data.The comparative analysis shows that the failure of anti-siding pile is contributed by the slope excavation and rainwater.The analysis method and results can provide reference significance to other anti-sliding pile design.This paper also provide a feasible method for prediction of consequence in slope excavation.
Strength Reduction FEM.Traditional slope designing method is based on limit equilibrium method(such as the Swedish circular method, the Bishop method, the Sama method, Spence method, the unbalance thrust transmission method, etc).All of them are based on the slippery surface crack for the shapes of predetermined, but they can not reflect the soil's stress-strain relationship very well.The basic principle of the strength reduction FEM likes this : a reduction coefficient F divides the value of stick together force c and internal friction angle φ, it would get a new c ', φ '.
And then we would let the new c ', φ ' as a new parameter data to input, finishing doing this we would try to calculate.
[9] Zhen Yingren;Zhao Shangyi.Slope Stability Analysis by Strength Reduction FEM.Engineering Science.2002,4(10):58-59 [10] Concrete Structure Design Code.GB 50010-2010 The PRC of housing and urban ministry of construction.2010.8:19-24

Based on the current status of energy conservation and emission reduction in coal-fired power plant in China, this paper strives to build a more systematic and scientific evaluation index system for energy conservation and emission reduction in coal-fired power plant to assess the different level of energy conservation and emission reduction in power plant, so as to facilitate the effective management of energy conservation and emission reduction in coal-fired power plants[2].
But the lack of automatic continuous monitoring devices in the power plant makes it difficult to obtain accurate datum, so we exclude the index of mercury and its compounds, COD, BOD5 and ammonia nitrogen.
Evaluation model of coal-fired power plant energy conservation and emission reduction Taking example by the cleaner production assessment rating score calculation， we establish the energy conservation and emission reduction evaluation model, which is showed as below[5]
Assessment of China's energy-saving and emission-reduction accomplishments and opportunities during the 11th Five Year Plan[J].
Assessment of China's energy-saving and emission-reduction accomplishments and opportunities during the 11th Five Year Plan[J].

It provides a theoretical basis for the implement of liquid core heavy reduction rolling mill. 2.
Simulation conditions: rolling reduction is 70mm, line speed is 0.9m/s, and materials are 2Cr12NiMoWV and 5Cr4W5Mo2V.
Simulation conditions: rolling reduction is 70mm, line speed is 0.9m/s, material is 5Cr4W5Mo2V.
Simulation conditions: rolling reduction is 90mm, line speed is 1.09m/s, material is 5Cr4W5Mo2V.
[4] Lu Huimin, Shen Yunyuan: Mechanical Engineering Material Properties Data Manual.