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The N antibodies constitute a antibody group and data structure of each antibody can only have two value "1" and "0".
The reciprocal of the mean square error of test set data is selected as affinity function of immune algorithm[5]
In this paper randomly selected 500 groups of data as a training set, the remaining 69 cases as a test set.
The set of data of each case have total of 30 data including the average value, standard deviation and the worst value of 10 characteristic quantities of each cell nucleus in the sampling.
The 30 data of each sample are selected to build the BP prediction model.

Therefore, this paper firstly reduce various historical data associated with the load by attribute reduction algorithm of the rough set, and removing decision-making information which is not associated with the property.
In this paper the 2009 July 1 to August 20 (except Saturday and Sunday) of the historical data as a sample, and then fit 19 August 2009 and 20-day power load value, finally, August 21, 2009 and August 22 of the data as unknown data, load forecast, finally, the predictive value compared with the real values, and do the error calculation.
are the selected historical data for the paper input variables, in which d is forecast day, t is prediction time, means the actual load data of d day t time.
Build attribute value decision table based on historical data, in which .
As rough set deals with discrete data, discrete the continuous valued before attribute reduction.

Anytime systems are able to provide short response time and are able to maintain the information processing even in cases of missing input data, temporary shortage of time, or computational power [1].
SVD Based Anytime Modeling In recourse, data, and time insufficient conditions, the so-called anytime algorithms, models, and systems [1] can be used advantageously.
They are able to provide guaranteed response time and are flexible with respect to the available input data, time, and computational power.
Further improvement can be obtained by utilizing training data and some learning algorithm.
The (HO)SVD based anytime models can advantageously be used in many types of applications during resource and data insufficient conditions.

Selective catalytic reduction of NO by hydrocarbons (HC-SCR) was extensively investigated as a potential way to remove NOx from oxygen-rich exhausts[1,2].
As reported in the Ref[14], complete combustion of C3H6 was the main reaction during the reduction of NO at higher temperature.
Considered comprehensively, more active sites are presented for the reduction of NO on the AgZr/Al catalyst.
Fig. 2 NO-TPD profiles of different catalysts Table 2 NO-TPD data of catalysts Sample Initial temperature (oC) Summit temperature (oC) Peak area(mV·S) AgZr/Al 100 325 617 198 426 728 17843 4894 4963 AgLa/Al 88 / 660 181(shoulder peak) / 751 24505 / 2718 AgFe/ Al 82 275 677 148 425 751 11380 4413 2241 AgCe/Al 90 306 660 178 447 751 15608 3639 8253 O2-TPD Fig. 3 O2-TPD profiles of various catalysts Table 3 O2-TPD data of catalysts Sample Initial temperature(oC) Summit temperature(oC) Peak area(mV·S) AgZr/Al 110 552 273 750 20671 10469 AgLa/Al 125 571 319 750 17787 7620 AgFe/Al 130 588 325 750 19091 11085 AgCe/Al 118 591 312 750 17041 7658 O 2-TPD measurements were employed to investigate O2 adsorption of the samples, and the results are shown in Figure 3 and Table 3.
This indicates adding ZrO2 increases the amount of crystal lattice O, which favors the high activity of NO reduction [20].

The mechanical properties measured include residual compressive strength, weight reduction ratio, outward appearance property, and failure mode.
Accordingly, this study, on the basis of the preceding research results [4], conducted an experiment with the aim of providing the basic data for commercialization and behavior under a fire of HPC by manufacturing HPC which produces crack control, strength enhancement, and ductile effect in a mixture of GA, Nylon, Polypropylene, and Steel Fiber.
The GA-Ny-01 and GA-SF-03 specimens showed the same level of weight reduction ratio up to 150oC, but from above 150oC, they showed a rapid reduction ratio as heating time got longer.
GA-Ny-01 showed 8.3% reduction ratio at 500oC, and then inflection-type Fig. 4 Experimental curves of weight reduction Fig. 5 Residual compressive strength versus ratio versus heating temperature heating temperature Table 4 Outward appearance property Specimens 100oC 150oC 250oC 400oC 500oC 600oC 800oC GA-Ny-01 GA-PP-02 GA-SF-03 reduction ratio with declining weight reduction ratio.
In addition, GA-PP-02 showed 0.9% weight reduction ratio at 250oC which is not a big change in comparison with other specimens; in addition, it showed a sharp reduction ratio after showing 3.5% reduction ration at 250oC.

A corresponding increase in the volumetric sulphate reduction rate with increasing volumetric loading rate was also observed at this range.
These restriction enzymes were selected such that specific enzymes generated unique DNA fragment banding patterns for each species selected, using sequence data available in the database of the DNAMAN for Windows program, Version 4.13 (1994-1999) [10].
This is accompanied by an increase in the volumetric sulphate reduction rate as the initial sulphate concentration increased from 1.0-10.0 g/L (Fig. 1b).
The link between bacterial population dynamics and the kinetics of sulphate reduction is demonstrated (Figs. 1a and 1b).
Relationship between biological sulphate reduction (BSR) kinetics and sulphate reducing bacteria (SRB) dynamics.

Sprecher Benjamin et al [21] investigated the environmental impact of NdFeB recycling, but assumed laboratory-scale data.
Research Data.
The data on the calcium reduction process are from the Institute of Materials Engineering, Beijing University of Technology, and all the experimental equipment used were factory pilot-scale equipment, with the same process parameters and energy consumption as the equipment used in industry, and the experimental data on calcium reduction is consistent with the data on hydrometallurgical method. or close to it.
Background data, including energy production, were obtained from the database of the National Engineering Research Institute for Industrial Big Data Application Technology (CNMLCA) of Beijing University of Science and Technology (CNMLCA, 2013).
SimaPro software is used for life cycle modeling, data processing and analysis of the two processes.

The resolution of the seismic data improves.
The resolution of the seismic data improves.
Fig. 5 shows the practical seismic data record.
Theoretical semistic data Fig. 3.
The resolution of the seismic data improves.

So speckle reduction is an important pre-processing step in the ultrasound image feature extraction and analysis.
Various methods have been employed in the literature for the speckle reduction.
Transform the multiplicative noise model into an additive model by taking the logarithm of the original specked data. 2).
As the chart shows, our algorithm is better than the other method in noise reduction and detail preservation.
Saxena, Wavelet-based statistical approach for speckle reduction in medical ultrasound images, Med.

The constitutive relationship of alloy GH706 has been established by linear regression analysis of the experimental data taken from the Arrhenius equations as a model.
During the compression, the load-stroke data were collected through both displacement sensor and pressure sensor and then were used to extrapolate the allowable reduction of the trail ingot.
The material constants of the constitutive equation can be evaluated from the experimental stress-strain data obtained from hot compression tests.
By using the flow stress data for the experiments as shown in Fig.2, at the peak strain, the values ofn1 and β are obtained as 4.9322 and 0.03286, respectively.
By taking the natural logarithm of Eq. (3), lnsinhασ=QRn1T+1nlnε-1nlnA (6) the parameters A, n and Q are easy to be determined from the experimental stress-strain data obtained at different strain rates and temperatures by linear fitting method.