Search results

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.

According to the empirical data, carbon emission's factors has been listed in table 1.
Datas of chemical fertilizer, pesticide, agricultural film and diesel oil were all quoted from Statistical Year Book of Anhui(2004-2009), data of plough came from the crop's real sown area of Suzhou in the same year, data of agricultural irrigation came from the crop's real irrigate area in the same year, the crop's sown area and crop's irrigate area were quoted from Statistical Year Book of Anhui(2004-2009).
Compared to the base period in 2004-2009, efficiency factors of agricultural production, agricultural structures and workforce scale factors only cumulative contributions is 24.8764×104t, 17.1003×104t, 4.1680×104t of carbon reduction respectively.Overall, the effect size of the order for agricultural carbon reduction is: labour scale factor > agricultural structural factors > efficiency factors of agricultural production.
Increments of various factors stabilized since 2006, with the improvement of the efficiency of agricultural production and the optimization of the structure of agriculture ,it can get agricultural carbon reduction.
With the transfer of non-farm agricultural labor, it’s conducive to agriculture to realize the scale of operation, thus conducive to agricultural carbon reduction.

The reduction of indigo dye into its leuco form is shown in Fig 1.
The alkaline solution was needed for reduction of indigo dye.
The reduction process (vatting) of indigo dye was allowed for 30 minutes.
The optimum vatting condition was analyzed from the obtained data.
This is explained that the reduction of the indigo dye into its leuco form is preferable at higher temperature.

Application of Improved Back-propagation Neural Network and Genetic Algorithm to the Preparation Processing of the Mg,Al-hydrotalcite/polymer Nanocomposite Qiang Luo 1 and Qingli Ren2,b 1 The Second Artillery Engineering College, Xi'an 710025, P.R.China 2 School of Technical Physics, Xidian University, Xi'an 710071, P.R.China b qlren@mail.xidian.edu.cn Keywords: Neural network; Genetic algorithm; Dimensionality reduction and pre-whitening Abstract.
And in order to accelerate the converging rate and avoid the local minimum, dimensionality reduction and pre-whitening methods were used.
Training 5000 times and the results are shown in Table 1. 1x 2x M nx 1y 2y my M V Fig.1 dimensionality reduction and pre-whitening of data Table 1 Test data and predicted results Sample No. 1 2 3 4 5 6 7 N (%) X1 5 5 5 5 5 1 2 pH value X2 10 10 10 10 10 10 10 A (%) X3 80 70 60 50 30 80 80 s (%) Y 193 408 421 633 390 190 225 s * (%) Y 198 412 424 629 287 189 226 Sample No. 8 9 10 11 12 13 14 15 N (%) X1 3 4 6 5 5 5 5 5 pH value X2 10 10 10 11 10 9 9.5 12 A (%) X3 70 70 70 70 70 70 70 90 s (%) Y 273 310 325 293 422 420 450 165 s * (%) Y 269 314 327 295 425 423 452 167 Notes: N: the amount of oleic acid sodium; A: the amount of Mg,Al-hydrotalcite; s : the break percentage elongation of Mg,Al-hydrotalcite/PE composites; * represents the predicted results.

To add damping in reduction gear box is an effective measurement to suppress box resonance.
This paper made an analysis at design stage of reduction gear product by finite element method.
Finite Element Model of Reduction Gear Box Model clean-up and finite element mesh.
Own to the connecting role of various bolts in reduction gear, this is also ignored in the modeling.
All load data of box in this paper is provided by an institution.

Then, a linear two-step reduction technique is used to reduce the high-order process to a second-order plus time delay model based on the frequency response data.
In 1995, Wang and Cluett[7] provided an identification method to deal with noisy step response data by using the Laguerre series expansions.
Then an SOPDT model is obtained based on a simple model reduction technique in frequency domain.
Here, a simple model reduction technique based on the frequency response is used.
Building transfer function models from noisy step response data using the Laguerre network[J].

Cerium oxide supplies the oxygen for the reduction of the hydrocarbon as well as the soot, and gets converted to Cerous oxide (Ce2O3), which in turn will reoxidized to CeO2 through the reduction of nitrogen oxide.
Table 1 gives the detailed elemental composition data.
It is clear from the powder XRD data shown in fig.4 that a phase pure crystalline cerium zirconium is formed.
Thermogravimetric analysis curves of synthesized Zr-Ce-O nanoparticles Temperature-programmed reduction.
Summary Use of fuel born catalyst Cerium oxide is one of the methods for the reduction of harmful emissions from diesel engines.

It allows the deformation of the material to be studied in detail with minimum or even without the need of performing expensive and/or time-consuming experiments once necessary material data are available.
From simulations, the result data had converged to a single solution as the number of elements increased; however, time consumed in the simulation also increased.
This decreasing in the load was due to the reduction in the frictional contact length between the workpiece and die.
The increasing in the reduction of cross sectional area had increased the press load [8].
The increased of reduction in cross sectional area caused higher equivalent stress in the deformation area.

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.

Multi-target Direction Measurement of Bistatic MIMO Radar Jingfang Wang1, a 1 School of Information Science & Engineering, Hunan International Economics University,Changsha, China a e-mail:matlab_wjf@126.com Keywords: bistatic radar, multi-input multi-output (MIMO), Direction-of-arrival (DOA), Direction-of-departure (DOD), Capon dimensionality reduction.
To solve this problem, the principle of bistatic MIMO radar signal model is in-depthly researched.By proposing Capon dimensionality reduction method, the two-dimensional directions of the dual-based MIMO radar are estimated, and computer simulation is to verify the effectiveness of the method.
Data received by the target launch to reach the receiver array can be expressed as the following expression: （1） which,and is m-th element in the launch of the array steering vector.
Bistatic MIMO radar Capon algorithm based on DOD and DOA estimation of dimensionality reduction algorithm main steps: 1) covariance matrix; 2) , ‘s (1,1) Each element of the K largest peaks are obtained by (7), which can be double base MIMO radar DOA estimates; 3) , by (9), ‘s (1,1) element of K largest peak are obtained, which corresponds to DOD estimates.
Pairs based on MIMO radar DOA angle and wave from the direction of estimates is discussed, and a dimensional reduction Capon algorithm.