Research on a Generalized Regression Neural Network Model of Thermocouple and it's Spread Scope

2008 ◽  
Author(s):  
Changhao Xia ◽  
Yong Liu ◽  
Bangjun Lei ◽  
Xuejun Xiang
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Generalized Regression Neural Network ◽  
Generalized Regression

Prediction Models for Railway Freight Volume Based on Artificial Neural Networks

2014 ◽  
Vol 543-547 ◽  
pp. 2093-2098 ◽  
Author(s):  
Yan Sun ◽  
Mao Xiang Lang ◽  
Dan Zhu Wang ◽  
Lin Yun Liu
Keyword(s):  
Neural Network ◽  
Network Model ◽  
Neural Network Model ◽  
Prediction Accuracy ◽  
Freight Transport ◽  
Generalized Regression Neural Network ◽  
Railway Freight ◽  
Freight Volume ◽  
Artificial Neural ◽  
Generalized Regression

The current China railway freight transport has always been faced with the situation of limited transport resources. Many relative studies have been done to solve the problem of resource shortage. And railway freight volume prediction is the basis of all these studies. With accurate volume prediction, railway freight transport administrations can precisely allocate the transport resources, such as wagons and locomotives. In order to overcome the limitations of traditional prediction methods, in this study, we design four artificial neural network models for prediction, including BP neural network model, linear neural network model, RBF neural network model and generalized regression neural network model. The results of simulation and comparison show that all these models can reach high prediction accuracy and generalized regression neural network has both higher prediction accuracy and better curve fitting capacity compared with other models.

scholarly journals Evaluation of Teachers’ Educational Technology Ability Based on Fuzzy Clustering Generalized Regression Neural Network

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jie Zhao ◽  
Honghai Guan ◽  
Changpeng Lu ◽  
Yushu Zheng
Keyword(s):  
Neural Network ◽  
Educational Technology ◽  
Network Model ◽  
Fuzzy Clustering ◽  
Neural Network Model ◽  
Prediction Method ◽  
Colleges And Universities ◽  
Generalized Regression Neural Network ◽  
Fitness Value ◽  
Generalized Regression

The improvement of teachers’ educational technology ability is one of the main methods to improve the management efficiency of colleges and universities in China, and the scientific evaluation of teachers’ ability is of great significance. In view of this, this study proposes an evaluation model of teachers’ educational technology ability based on the fuzzy clustering generalized regression neural network. Firstly, the comprehensive evaluation structure system of teachers’ educational technology ability is constructed, and then the prediction method of teachers’ ability based on fuzzy clustering algorithm is analysed. On this basis, the optimization prediction method of fuzzy clustering generalized regression neural network is proposed. Finally, the application effect of fuzzy clustering generalized regression neural network in the evaluation of teachers’ educational technology ability is analysed. The results show that the evaluation system of teachers’ educational technology ability proposed in this study is scientific and reasonable; fuzzy clustering generalized regression neural network model can better accurately predict the ability of teachers’ educational technology and can quickly realize global optimization. According to the fitness analysis results of the fuzzy clustering generalized regression neural network model, the model converges after the 20th iteration and the fitness value remains about 1.45. Therefore, the fuzzy clustering generalized regression neural network has stronger adaptability and has been optimized to a certain extent. The average evaluation accuracy of fuzzy clustering generalized regression neural network model is 98.44%, and the evaluation results of the model are better than other algorithms. It is hoped that this study can provide some reference value for the evaluation of teachers’ educational technology ability in colleges and universities in China.

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