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By combining two fast training methods, i.e., the weights-direct-determination (WDD) method and Levenberg-Marquardt method, this paper proposes a novel training algorithm called weights and structure policy (WASP) for the three-layer feedforward neuronet, in addition to the algorithm of weights and structure determination (WASD). Note that the pruning-while-growing and second-pruning techniques are...
Hot strip rolling flatness and gauge complex system has the features of strong coupling, uncertainty and nonlinearity. To improve the control accuracy, a strip flatness and gauge decoupling control method is put forward based on QDRNN-PID. The simulation results compared to the traditional PID control show that the decoupling control strategy has better control effect, adaptive tracking ability and...
Seasonal adjustment plays a significant role in the analysis of current social and economic conditions, particularly in determining the stages of the business cycle at which the economy stands. Nowadays the most popular method for seasonal adjustment in time series forecasting is the X-12-ARIMA algorithm, etc. All of these methods are sophisticated and difficult to understand and not suitable for...
The inconsistent diagnostic information often occurs in fault diagnosis of complex equipments. In order to improve the diagnosis precision, an integrated fault diagnosis method is proposed based on variable precision rough set (VPRS) and Naive Bayesian network classifier (NBNC). Firstly, according to the relative discernibility of the original fault diagnosis decision table, the β in VPRS is self-determined...
Firstly, this paper established an optimization model on laying photovoltaic battery with the optimal horizontal obliquity aiming at maximum radiation intensity and the slope obliquity as the decision variable. Then, proposed an “Embedded Search Algorithm” to solve this model. The algorithm not only has high computation efficiency, but also can according to the requirements of the project to achieve...
The study presented in this paper sets up a new mixing sample update strategy based on the Kriging model to address the issue of accuracy in complicated engineering optimization problems by adding points dynamically. First, a new optimized Latin Hypercube Sampling experiment design method is established to increase the homogeneity of the sample. Second, a sample update strategy based on local optimization...
By introducing the fractional-order difference into the updating formulas of the velocity and position, fractional-order particle swarm optimization algorithm is proposed. The effects on the convergence rate and accuracy are analyzed, by introducing fractional-orders in the updating formulas for the velocity and position. Moreover, the linear increasing methods to adjust the fractional-orders are...
A tracking guidance scheme based on nonlinear model predictive control is proposed for low-thrust transfer trajectory. According to the optimal nominal transfer trajectory, the NMPC is used to design the predictive model of perturbed orbit. Performance index of receding optimization is established, which can indicate the difference between the nominal trajectory and prediction trajectory. Taking the...
Gesture is a natural and intuitive mode of interpersonal communication, which can simulate language and behaviors to express certain meanings and words. In this paper, an embedded gesture recognition system has been designed and developed using a data glove. The design of a data glove is aimed at supplying a auxiliary communication tool for deaf people so that there is more social intercourse between...
Infrared measuring device is a device used for infrared radiation characteristic measurement. It is widely applied to each field of the military, industrial, medical, agriculture and forestry in our production life. The calibration of infrared measuring equipment directly affects the system error and the test precision of the instrument, so establish the feasible and effective calibration method,...
Although prolonging network life time in target tracking has been extensively studied in the literature of wireless sensor networks, the problem of energy efficiency with well tracking performance is still an open issue. In lots of exited works about target tracking in WSN, energy cost and uniform sampling interval was taken into consideration. While it ignored the remaining energy selected sensors...
The method of nondestructive testing for aircraft skin composite defects using infrared thermography is very effective. But, against the problem of how to rapidly and accurately identify for the defects of specific types needs to be further study. Based on the analysis of the existed classifier for skin damages, a complex group classifier based on lie group machine learning algorithm is introduced...
Aiming at the randomness of intelligent vehicle data collection and the huge difference between the data collected which may easily result in information conflict, missing of effective data and large decreasing of effective data, method of distribution chart is used to eliminate negligent errors on the basis of multi-sensor data collecting and data is processed by adaptive weighted information fusion...
Network node positioning technology is one of the important supporting technologies in the practical application of wireless sensor. In order to overcome the measurement error of the least squares method for wireless sensor networks (WSNs) node affect their positioning accuracy, an improved positioning algorithm least squares(LS) is proposed. In order to obtain the optimal reference node, the algorithm...
High dimensional and unbalanced datasets are the main problems which prevent from achieving ideally churn prediction performance. Features selection is necessary to be adopted to enhance the model performance. A new predicting framework is proposed in this paper which uses complementary fusion of the multilayer features. Several subsets and new features were acquired according to feature factorization...
For conventional fuzzy control system in the process of control accuracy is low, this paper proposes a fuzzy control system offline to get fuzzy control table with Taylor interpolation algorithm, through online calculation control output of the system. Simulation results show that the method has fast response, no overshoot, steady-state error is small, the advantages of combining simulation examples...
Submerged arc furnace is a system with strong coupling, nonlinearity and time-variability. In this paper, a logistic-interpolation-based fuzzy controller for electrode regulation of submerged arc furnace is proposed. The proposed controller is based on fuzzy logic control strategy, and interpolation algorithm is employed to improve the control accuracy without raising complexity of the controller...
In the case of PWM rectifier unsteady virtual flux amplitude caused by grid voltage instability. We can't achieve constant flux amplitude saturation limit. In order to eliminate the errors caused by direct current drift and initial value in voltage model based flux estimation of direct power control system, a new virtual flux observer based on virtual flux linkage to be perpendicular to grid voltage,...
A transform domain algorithm using channel selecting is proposed for visual saliency in this paper. This algorithm is able to improve the accuracy of the traditional transform domain saliency detection while preserving their advantage of fast processing speed. Based on the image signature algorithm, we select the channels by calculating the correlation values between each channel. Then, the selected...
This paper proposes a robust hand posture recognition system based on RGBD images. While much research has focused on human body posture recognition, this work investigates skeleton-free hand detection, tracking and posture recognition. This work consists of two different parts. In the first part, we utilize random forest to get pixel detection of hand and mean-shift to track hand based on RGBD images...
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