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This paper proposes a Chinese coin recognition method based on unwrapped image and rotation invariant template matching. At first unwrap the reference coin and the specimen coin, which makes a rotation of the coins convert to a translation of the profile. Then lengthened the unwrapped specimen coin image and the unwrapped reference coin image always lies in the unwrapped specimen if they are the same...
In this paper a method of real-time target recognition is proposed. When the target is moving, the features of the target are changed. So the features for BP neural network training were obtained according to the moving direction and the target's position in the video Scene. And the recognition results of the previous frames were also considered to get the result of the current frame. The experiments...
Neural network has self-learning and adaptive ability, and has strong fault tolerance and robustness, so it has a broad applications in the pattern recognition. In this paper, we adopt an improved BP algorithm-Flexible BP algorithm (RPROP) in the image recognition, and we used it to simulate the image recognition in this field of pattern recognition application . The results of the experiments show...
Based on a small, lightweight, low-cost high performance inertial Measurement Units (IMU), an effective calibration method is implemented to evaluate the performance of Micro-Electro-Mechanical Systems (MEMS) sensors suffering from various errors to get acceptable navigation results. A prototype development board based on FPGA, dual core processor's configuration for IMU/INS/GPS integrated navigation...
Direct Torque Control (DTC) is a high performance control method. The stator flux observer is a key part in the method. The accuracy of the stator flux estimation directly affected the performance of DTC. The traditional induction motor stator flux observation method have been analyzed in This paper. And for the shortcomings of existing methods, a on-line identification methods based on Radial Basis...
This paper presents the development of an algorithm based on K-Means clustering and probabilistic neural network (PNN) for classifying the industrial system faults. The proposed technique consists of a preprocessing unit based on K-Means clustering and probabilistic neural network (PNN). Given a set of data points, firstly the K-Means algorithm is used to obtain K-temporary clusters, and then PNN...
According to the combustion control system of industry boiler with large time delay and nonlinear, a kind of combustion system of industry boiler based on GA PID neural network controller design method is proposed in this paper. The boiler model is given and the comparison is made between GA PID neural network controller and the traditional PID controller. The simulation results indicate that the...
In order to simulate a nonlinear system, A BP neural network can be used. First the question is analyzed, we can know what we use to input to the system, the dimensions of the input vectors will be the number of the input layer neurons, The number of the output layer neurons depends on the output parameters, The numbers of the hidden layer neurons depends both on the input layer number and the output...
In this paper, a new kind of three-stage neural network was developed to identify the sorts of the biological surface. The visible spectrum (from 380nm to 780nm) of the micro areas with some specks on the surface of the apples was measured with the self-made fiber sensor spectrometer. To sort the apples, A kind of BP-ANN with single hidden layer was devised to identify the characteristics on the biological...
The assessment model has been proposed with the neural network technology applied to the assessment research of the water environmental quality. The parameters in the model can be acquired on the basis of the sample data of the standard values and the relative levels from the environmental quality standards for surface water. Moreover, the assessment model has been applied to the water environmental...
In view of the variety of the changes of burning flame in large-scale boiler, in order to master the status of the furnace flame in real time. In this paper, it introduces the BP neural network absorb the basic method of flame-picture's temperature, to study thoroughly discussed about the BP neural network model, and puts forward an improved BP neural network method, as for the method to calculate...
In the future field of communication, broadband multimedia communication satellite will play an important role with its unique advantages. Through analyzing the characteristics of broadband multimedia communication satellite network and the bandwidth allocation, and aiming at the long time delay characteristics of broadband multimedia communication satellite network, this article puts forward the...
Due to massive date to be monitored for Metro shield machine, in order to solve the problems of knowledge acquisition bottlenecks and complexity structure of network structure and long traing time which based on expert system and neural network fault diagnosis methods. This article will introduces rough set theory to the subway shield machine fault diagnosis, Propose a method which based on rough...
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