Sentence examples for method and back from inspiring English sources

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The ANN model was built on back propagation algorithm as for ANFIS model a combination of least squares method and back propagation gradient decent method were developed and applied.

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Fig. 1 General flowchart of the feature enhancement method and back-end ASR system.

During 3D image reconstruction, we use an optical flow method and back-projection interpolation to improve the resolution of the subimages.

This paper integrates design of experiment (DOE), Taguchi method, and back-propagation NN (BPNN) to construct a robust engine to further optimize the prediction accuracy under a robust DOE-based predictor.

A prediction model for the folding defect in transitional region during local loading forming of titanium alloy large-scale rib-web component was developed by the combination of finite element simulation, space-filling Maximin Latin hypercube designs method and back-propagation neural network.

For seismic reliability assessment of practical complex structure with large number of random parameters and small failure probability, a hybrid approach which combines subset simulation (SS), explicit time domain method (ETDM) and back propagation neural network (BPNN), is proposed herein.

An adaptive controller is proposed, based on Lyapunov׳s direct method and the back-stepping technique, which interestingly guarantees robustness against parameter uncertainties.

A hybrid learning algorithm, which combines the least-square method and the back-propagation algorithm, is used to identify the parameters of the network.

Therefore, this study adopted the mean method, the linear regression method, and the back-propagation neural network (BPN) method to analyze the grout-curtain construction data of the Li-Yu-Tan dam, Taiwan, in order to estimate the cement take needed.

Both the finite element method and the back-propagation artificial neural network (ANN) method were used to investigate the effects of the geometrical parameters, such as overlap length, plate thickness and adhesive thickness; and the material composition variation through the plate thickness on the natural frequencies, mode shapes and modal strain energy of the adhesive joint.

In this work, the Takagi-Sugeno Fuzzy model is used to construct the ANFIS model for the examined gas turbine, this configuration is shown in Fig. 4, where three Gaussian membership functions for each input with an adjusting of the ANFIS variable by a combination using the least-squares method and the back-propagation gradient descent technique.

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