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Software functions include signal acquisition, AD conversation, data storage,LCD display and data transmission.
The basic flow is human-computer interaction, information acquisition, calculation of concentration, concentration display, data storage and data transmission.
Finally, system transfers data to a PC via USB or Bluetooth.
This system can complete glucose signal acquisition, data display and data storage.
It can transfer data to PC.

Hidden layers process the input data from input layer and create response(s) in output layer.
In the process of providing field data we tried to take sample from all combination of sampling space.
About 60% of data were used for training the network with different topologies and BR training algorithm.
About 20% of data were used as validation data and the rest were used for testing the model.
The criteria for selection of the best network are high amount of R2 for training, validation, and test data, as well as the low and close amount of RMSE for three mentioned parts of data.

Increasing porosity can often lead to the reduction in compressive strength and fracture toughness, although the crack bridging effect of particles (as described in Section 3.1) also plays a role.
The reduction in compressive strength of R2 and RS relative to R4 can also be explained by the higher porosity and increased content of larger capillary pores when smaller rubber particles are used.
The effects of the zigzag surface and interface lead to the reduction in tortuosity of R2 and R4.
With the remaining data, the average hardness values were calculated in Table 3.
However, due to the higher porosity, larger critical pore size and lower bridging stress, compared to R4, the compressive strength and fracture toughness of R2 and RS generally perform the larger reduction.

The proposed QNN forecastig model is tested for certain province load data.
Let denote by ijx the jth component of the ith data pair.
Therefore, the load influential factors can be further reduced without loss most information of original data.
The data used in the simulation is the actual load power data of Hebei Province in 2004.
Data Acquisition & Processing, 22(4), pp. 401-406(2007)

Therefore, the most widely used method is still by means of thermal simulation experiment, measuring rheology stress data in a certain strain rate and deformation temperature range, and then based on these data to establish the corresponding rheology stress model.
In this paper, using literature [10] data, the parameters optimize by GA to obtain using the empirical formula.
By a certain coding scheme, the problem solution is expressed by genetic algorithm as an individual structure of a data of genotypes string of the genetic space.
(8) Substitution the n pair of experimental data（）into (8), there will be, if in is the error between calculated from the above equation and the actually measured, substitution the n pair of experimental data（）into (8), we can get n equations, that is:
Through model validation by experimental data and comparing calculated and experimental results under different deformation rates as shown in Fig.2.

The PLC is responsible for the data collection and automatic control, while the PC is responsible for the surveillance of FGD system operation and the data processing through mutual communications between PC and PLC, which realizes the communication between human and machine and ensures the safe, stable and economic operation of the FGD system.
In order to achieve the SO2 emission reduction targets, country has developed a series of environmental protection measures.
Fig. 3 Power supply circuit 3.4 data acquisition circuit According to the control system requirements, the main desulfurization system data is collected as follows: pH of the slurry, dust concentration, gas pressure and gas temperature.
Meanwhile, on-site data acquisition circuit and the interference of power supply circuit were designed.

Introduction Based on the “Twelfth five” emission reduction targets and the current building energy efficiency quality problems, Building Energy Research Group of Zhengzhou University developed a small frame exterior composite insulation system (referred to as “XKT”), and acquired the National patent(No.
Model 2: W1-XKTP facing layer with shear key, with specific data same as model1.
After adding the shear key to the mortar layer, the stress peak of σx and σy in the region of stress concentration shows a reduction by 46.01% and 49.61% respectively. 4.

The scatter in data was within ±10 %.
There was a slight reduction in wear rates for the smoother surfaces but the reduction was practically insignificant.

Nickel Base Heat-resisting Alloy Supersonic Signal Noise Reduction Processing This experiment uses the American UltraPAC system to carry on the extraction of supersonic signal.
Fig. 2 Around noise reduction supersonic signal Uses in the Nickel Base Heat-resisting Alloy Supersonic Signal Identification WNN This experiment uses the American UltraPAC system to carry on the extraction of supersonic signal.
Fig. 4 Defect signal and extracted 8 characters Table 1 Supersonic signal training sample Sample type Training sample data E3,0 E3,1 E3,2 E3,3 E3,4 E3,5 E3,6 E3,7 1 Non-defect 0.8274 0.1081 0.2383 0.0663 0.1306 0.0845 0.2820 0.3726 2 Defect signal 0.5734 0.1049 0.4353 0.2060 0.3133 0.4119 0.2734 0.2929 3 Non-defect 0.7812 0.1212 0.3948 0.1007 0.2190 0.2827 0.1633 0.2332 …… 16 Defect signal 0.3098 0.0792 0.2010 0.2131 0.3817 0.4605 0.5923 0.3214 17 Defect signal 0.1927 0.1705 0.4293 0.4595 0.2730 0.2046 0.4492 0.4673 18 Defect signal 0.4695 0.1166 0.2698 0.1961 0.3169 0.1211 0.5163 0.5226 Simulation Result.

The delayed neutron data for thermal fission in U-235 are referred to the reference [8].
Fig. 4(a) also represents the decrease of fuel temperature because of the reduction of neutron flux (fission power).
Compared with the results by the step decrease of inlet flow rate, those by the step decrease of inlet coolant temperature lead to the increase of neutron flux (Fig. 5(a)) as a result of positive reactivity caused by the reduction of coolant temperature (Fig. 5(a)).