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Then using the input data and the output data of the nonlinear function trained the BP neural network .The trained network could predict the output of the nonlinear function.
Then we could find the global and optimal value by getting the data picked, crossed, variation and compared with the before values and got the final solution [5].
In the experiment, we took the reduction, the tension value and the corresponding thickness as a set of data and got the data 300 sets in every rolling stand.
Then 270 sets data were randomly selected to train the BP neural network, the other 30 sets data were as the test data to test the fit of the BP neural network performance.
The data storage in the storage function could be read.

The obtained results are in good agreement with experimental data.
Dots show the experimental data magnetic susceptibility dependence on temperature for ultrathin Ni50Fe50 films [1].
The Curie temperature reduction Tc(N) with the reduction of the number of the layers N is confirmed by the temperature phase transition calculation with equation system (3) (see figure 2).
Dots show the experimental data [3] for Ni (111) films grown on different substrates.
It’s in good agreement with experimental data [1]; · magnetic phase transition temperature decreases with decreasing of the film thickness where the theoretical curve is slightly different from the experimental data[3].

These data show that the hospitality is both high energy consumption and high carbon emission.
Though years of data collecting and analyzing, we recommend that the Monitoring Reporting Verification (MRV) should consist the following index: (1) The comprehensive energy consumption.
Data source and its analysis As of December of 2013, monthly comprehensive energy consumption data form 14 high-star eastern China hotels are collected, the period of which various from 1 year to 6 years.
And the relevant data are also collected from 12 2-star and 3-star hotels, the period of which various from 2 to 4 years.
We have also collected the data from 15 economy hotels, the period of which ranges from 2 to 3 years.

Among various factors which perhaps answer for the technical immaturities, data redundancy in 3D CAD models is an outstanding one.
As a result, seeking an effectual approach for the lightweight of geometrical data becomes necessary.
Some general CAD systems also provide their lightweight data specification.
Currently many companies have come to an agreement with Siemens PLM for the data exchange by JT.
Intelligent Reduction Based Lightweight Data redundancy mainly embodies in very fine details such as small features, small parts or even small subassemblies, etc.

Before performing pre-feasibility studies using RET Screen, the analyst should have enough technical and financial information about the proposed project, such as meteorological information in the location of the project, technical data of the power station component as well as the project's cost constitution.
Meteorological data can be gathered from the NASA Surface meteorology.
The product cost data can be collected from their products supplier.
The PV case in china The PV power plants analyzed in this paper is located in the city of Hami, at the centre of the autonomous region of XingJiang in china, Wurmqi is the nearest weather data location.
Solar resource input parameters Nearest location for weather data Urumqi Latitude of project location 42.9 °N PV array tracking mode Fixed Slope of PV array 36.0° Azimuth of PV array 0.0° Application type On grid Table 3.

Secondly, numerical data from the behavior, in static conditions, of geogrid reinforced soil structures with and without pre-tensioned reinforcements are presented.
This reduction allows that panels could have greater dimensions and a reduction in the unitary transport costs for the finished components.
In consequence for analyze the advantages of reinforcement's pre-tension is presented numerical data from the behavior, in static conditions, of geogrid reinforced soil structures with and without pre-tensioned reinforcements.
This reduction permits a better initial behavior of the structures and in consequence a better performance of them in service.
The innovations introduced permits a reduction in the horizontal structures displacements and the installation of face panels with great variety of geometries, size, colors and surface textures.

Area detectors were used for all measurements, which together with the high photon flux enabled fast data acquisition.
Data analysis.
However, only three of the strain coefficients were solved in the average grain studies since the sample was not rotated, while all six coefficients were determined from the individual grain data.
Figure 3: The residual stress state after cold rolling reduction.
From our data it looks like there is a difference in behavior among the grains when plastic yielding has started.

However, there is no significant effect of stiffness reduction on vibration was found in this research.
Fig.1 Idealized crankshaft model Fig. 2 Data acquisition for experiment setup system Y X Fig. 2 shows the data acquisition for experiment setup system.
Every element showed the mass sensitivity value based on the percentage reduction and it was found that element 56 & 65 showed to be the most sensitive as its value easily changes even with a small percentage reduction.
The stiffness sensitivity for all elements is the same including in each percentage reduction.
With percentage reduction of mass, the natural value of all the modes decrease but the stiffness had not changed even though the percentage reduction of stiffness occurred.

P-uptake rates are correlated linearly with nitrite reduction and PHA consumption rates.
Results obtained were divided by VSS to eliminate the effects of biomass concentrations and expressed as to analyses data at a molecular level.
So we put two series of data (pH and as variables, respectively) in the same figure (Fig.3a) to evaluate the correlation between FNA and two reaction rates.
Correlation between FNA and the rates of nitrite reduction (●,) and phosphate uptake (o, ∆) b.
Phosphate uptake rates were correlated linearly with nitrite reduction and PHA consumption rates.

For the strong ability of qualitative analysis, the Rough Sets has already been used successfully in many fields such as machine learning, fault diagnosis, decision analysis, process control, pattern recognition, data mining and so on.
By the way, because of the pool intuitiveness of many concepts and operations of the theory, it normally isn’t easy to understand their essence; 2) many concepts of the Rough Sets is defined and used under the hypothesis of complete information system while in the real life it’s more often to face with incomplete information systems because of the error of measurement, the limitation of data understanding or knowledge acquisition, or some other reasons.
But like the Find-S algorithm, the Candidate Reduction algorithm is also sensitive to noise.
Song[11] proposed a redundant information reduction method in 2009, it improves the speed of reducing redundant attributes through automatically clustering based on ranked data subtraction.
Beijing: Engineering Industry Publishing House (2003) [2] Shuopin Wen, Shengyong Qiao, et al., Data and rules extracting in incomplete decision table based on decision tree, Computer applications, 23(11) (2003) 17-22 [3] Changsong Sun, Xiguo Dong, Jianpei Zhang, Algorithm based on rough set and decision tree to gain minimal classing rule set, Journal of Harbin Engineering University, 23(5) (2002) 87-91 [4] Jing Yang, Hao Wang, Xue-Gang Hu, et al.