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Objective To Predict the basic luteinizing hormone (LH) and follicle stimulating hormone (FSH) levels in girls with precocious puberty using ultrasonic union artificial neural network. Methods In 71 girls with precocious puberty, the uterine and ovarian were examined with ultrasound. The back-propagation (BP) neural network was established using uterine volume, ovarian volume and the largest diameter...
The research on noisy Tibetan speech recognition algorithm based on wavelet neural network (WNN) combined with auditory feature was carried out in this paper. The recognition classifier based on WNN was designed, and Mel Frequency Cepstrum Constant (MFCC) feature was given. Then the simulation on the given algorithm was run under the different signal to noise ratios (SNR), and the results illustrated...
The research on the problem of control and synchronization of the chaotic system would be carried out in the paper. Using the property of state estimated of state observe and self-learning ability of RBF, The adaptive and reliable controller combined RBF network with state observer was presented. At the same time, the condition of state error convergence as well as that of control and synchronization...
Aiming at the disadvantages of the single BP neural network in speech recognition, a method of speech recognition based on k-means clustering and neural network ensembles is presented in this paper. At first, a number of individual neural networks are trained, and then the k-means clustering algorithm is used to select a part of the trained individuals' weights and thresholds for improving diversity...
In this paper, the rolling bearing is detected by the PLC-based remote fault diagnosis system. This system carries out remote system bearing fault diagnosis and maintenance through the combination of expert system and BP Neural Network. Since the advantages of rapid exchange of diagnostic information, accelerating the fault diagnosis rate, and reducing negative effects of failure on production process,...
This paper presents a method used to the robot wrist force sensor modeling based on improved genetic wavelet neural networks (IGWNN) and the principle of algorithm is introduced. In this method, the dynamic model of the wrist force sensor is set up according to data of the dynamic calibration, where the structure and parameters of wavelet neural networks of the dynamic model are optimized by genetic...
To improve the effectiveness of the defense strategy of Robocup simulation robot soccer team, this paper proposes a BP neural network (BP NN) method to predict the weights of weighted mean distance model. The weighted mean distance model is first introduced into the defense strategy of one robot soccer team. A BP neural network model is then built to modify the weights of the weighted mean distance...
This paper presents an expert system to estimate the relationship between the vehicle pre-braking speed and the length of the skid mark. Since the length of the skid mark varies with many factors, there is no a single formula or equation which can represent the relationship between the vehicle pre-braking speed and the length of the skid mark. Therefore in this paper an expert system is built to estimate...
In this research, the back-propagation neural network system and the ACCESS database management are implemented for on-line learning of the ankle joint of the biped robot walking forward. The system acquires the inclining angles of the center of gravity by the inclination sensor and the joint angles by the AI servo motors when the manual teaching is applied for the on-line learning templates of the...
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