Research on a new teaching quality evaluation method based on improved fuzzy neural network for college English

2018 ◽  
Vol 28 (3/4) ◽  
pp. 293 ◽  
Author(s):  
Yixuan Jiang ◽  
Jingjing Zhang ◽  
Changai Chen
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Teaching Quality ◽  
College English ◽  
Fuzzy Neural

Research on the Application of Fuzzy Neural Network in the Automobile Reliability

2010 ◽  
Vol 136 ◽  
pp. 77-81
Author(s):  
Yan Zhong Men
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Evaluation Method ◽  
Theoretical Foundation ◽  
Field Conditions ◽  
Maintenance Strategy ◽  
Automobile Engines ◽  
Fuzzy Neural ◽  
Engine Failure

The data of engine failures about automobile operating in field conditions was collected by running engine failure tracking tests. An evaluative model was established using the theory of Fuzzy Neural Network (FNN) for the automobile “using reliability, based on the data of failures about automobiles, finally, the evaluative result for the automobile” using reliability was obtained by evaluative model of reliability. The result of research can be used as references for the improvement of reliability and maintainability of automobile engines, and for the establishment of maintenance strategy, and it also laid a theoretical foundation for studying the improvement of evaluation method for the automobiles' reliability as well.

Research on the Application of Fuzzy Neural Network in the Tobacco Heights Department of Tractor Reliability

2012 ◽  
Vol 152-154 ◽  
pp. 1899-1903
Author(s):  
Yan Zhong Men ◽  
De Tang Zou
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Evaluation Method ◽  
Theoretical Foundation ◽  
Field Conditions ◽  
Maintenance Strategy ◽  
Fuzzy Neural ◽  
Engine Failure

The data of engine failures about tobacco Heights Department of tractor operating in field conditions was collected by running engine failure tracking tests. An evaluative model was established using the theory of Fuzzy Neural Network(FNN) for the tractor ' using reliability, based on the data of failures about tractors, the observed values of the reliability standards were made out and the degree of subordination was figured out, finally, the evaluative result for the tractors ' using reliability was obtained by evaluative model of reliability. The result of research can be used as references for the improvement of reliability and maintainability of tractor engines, and for the establishment of maintenance strategy, and it also lay a theoretical foundation for studying the improvement of evaluation method for the tobacco Heights Department of tractor ' reliability as well.

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