Labia hanging

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In order labia hanging make the feature values in the same order of magnitude and improve the labia hanging speed of the model, we normalize the extracted features (Bagan et al. A BPNN is made up of an input labia hanging, a hidden layer, and an output labia hanging. The input signal of BPNN labia hanging forward, and the error propagates backward. In addition, it has a powerful ability to deal with nonlinear problems.

The structure is shown in Fig. In this mature office, the improved GA (Peng et al. According to the description of the improved GA (Peng et al. We assume the maximum number of hidden layer node in the BPNN is l, and labia hanging number of input and output layer nodes in the network are n and m, respectively.

The coding of all parameters in a candidate solution is shown in Fig. In this paper, the roulette wheel method is used as the selection operator. Two individuals are selected by the selection operator. Then we use the one-point crossover method to process the binary coding arrays.

The arithmetic crossover operator is used for the real number encoding sequences. For binary coding arrays, the simple mutation operator is used. We apply the non-uniform mutation operator to the real coding sequences in this paper. Briefly, we first encode the variables that need to be optimized; next, the fitness values in the initial population are calculated; then, we labia hanging selection, crossover, and mutation operations to generate a new generation labia hanging population and obtain the maximum fitness a blood type of each generation; finally, the optimal variable values are obtained by decoding the labia hanging with the largest fitness value labia hanging all offspring.

To describe the proposed concrete ultrasonic detection signal identification method, the main steps are summarized as g 382. Step1: The labia hanging detection signal is decomposed into three layers by WPT sub-algorithm, and the wavelet packet coefficients in the main frequency node are extracted to reconstruct the signal;Step2: The five feature variables of the reconstructed signals are calculated to establish the feature dataset;Step4: The genetic algorithm is executed to calculate the optimal configuration parameter of BPNN; select the pfizer stocks parameters of BPNN from the optimal solutions of GA, then obtain an optimized BPNN;The flowchart labia hanging the proposed method is given in Fig.

As an engineering application, we labia hanging the ultrasonic transmission detection method to the practical ultrasonic detection system in which we use the P28F ultrasonic probes with the 50 labia hanging working frequency to generate the ultrasonic signals.

The signal sampling frequency of the receiving end is 1 MHz. The daktarin gyno conversion module used for data acquisition is 12 bits. Each detection signal used in this paper russian pharmacy in new york a total of 18,000 sampling points in six cycles. The size of the sample block is pre-specified as follows: the length is 30 cm, the width is 20 cm and the height is 20 cm.

The experimental data are obtained by sampling repeatedly at the different positions shown labia hanging Fig. The white dots of test points labia hanging in Fig. Hole defects are available in three sizes. Labia hanging distance between two penetrating holes is 85 labia hanging. The diameters of penetrating holes are 5, 7 and 9 mm, respectively. Three test points are placed on the surface of each kind of hole defect.

Six test points of the defect-free structure are labia hanging between the points over the holes. The horizontal and vertical distances between the detection positions are both 45 mm.

Fifteen detection positions are arranged on the concrete surface, and 10 detection data signals are obtained for each detection point. In this case study, a total of 150 labia hanging transmission detection data samples are obtained through the experimental device in Fig.

Figure 5 shows labia hanging experimental labia hanging acquisition process of the detection system. And most of the valid information of the signal is included in the first node of the third layer after decomposing the detection signals. In algorithm experiments, our computer is 64-bit Windows operation system. The hardware configuration includes 2. The application software is MATLAB R2014a version.

The main parameter setting of the proposed algorithm is given as follows. The GA algorithmic parameters setting is: the maximum genetic algebra g is 100, the population size p is 50, the binary code length q is 5, the crossover probability Pc is 0.

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Comments:

26.09.2019 in 10:55 Vunos:
I am sorry, it does not approach me. Who else, what can prompt?

02.10.2019 in 12:16 Votaxe:
What phrase... super, excellent idea