Grain Quality Evaluation Method Based on Combination of BP Neural Networks with D-S Evidence Theory

2009 ◽  
Author(s):  
Tong Zhen ◽  
Zhi Ma ◽  
Yuhua Zhu ◽  
Qiuwen Zhang
Keyword(s):  
Neural Networks ◽  
Quality Evaluation ◽  
Grain Quality ◽  
Evaluation Method ◽  
Evidence Theory ◽  
Bp Neural Networks

The Application of BP Neural Network in Diagnosing the Short Circuit Fault of Winding

2014 ◽  
Vol 543-547 ◽  
pp. 1064-1067
Author(s):  
Jian Qun Zhang ◽  
De Jian Zhou
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Bp Neural Network ◽  
Short Circuit ◽  
Evidence Theory ◽  
Accurate Diagnosis ◽  
Bp Neural Networks ◽  
Rotor Winding ◽  
Short Circuit Fault

As a common fault of motor, the short circuit of rotor winding is important for the accurate diagnosis. In this article, the author collected every status parameter of motor by different sensors, using two BP neural networks to partly diagnose the motor and fusing the results of partly diagnosis by D-S evidence theory. The author increases the creditability of diagnosis results by practices and decreases uncertainty, showing the efficiency of this method.

Study on Pilot Performance Model

2011 ◽  
Vol 383-390 ◽  
pp. 2545-2549
Author(s):  
Wei Liu ◽  
Cheng Kun Liu ◽  
Da Min Zhuang ◽  
Zhong Qi Liu ◽  
Xiu Gan Yuan
Keyword(s):  
Neural Networks ◽  
Eye Movement ◽  
Evaluation Method ◽  
Back Propagation ◽  
Performance Model ◽  
Experimental Comparison ◽  
Bp Neural Networks ◽  
Training Set ◽  
Pilot Performance ◽  
Movement Data

In order to evaluate pilot performance objectively, back propagation (BP) neural network model of 621423 form in topology with eye movement data was established. Data source of BP neural networks that came from former experiment and random interpolation was divided into training set and test set and normalized. Based on neural networks toolbox in Matlab, hidden layer nodes of BP networks were determined with empirical formula and experimental comparison ; BP algorithms in the toolbox were optimized; The training set data and test data were input into model for training and simulation; Pilot performance of the three skill levels was predicated and evaluated. The research shows that pilot performance can be accurately evaluated by setting up BP neural networks model with eye movement data and the evaluation method can provide a reference for flight training.

A Quality Evaluation Method for Laser Welding of Al Alloys Through Neural Networks

CIRP Annals ◽  
2000 ◽  
Vol 49 (1) ◽  
pp. 131-134 ◽  
Author(s):  
L.M. Galantucci ◽  
L. Tricarico ◽  
R. Spina
Keyword(s):  
Neural Networks ◽  
Laser Welding ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Al Alloys

Objective quality evaluation method of stereo image based on steerable pyramid

2013 ◽  
Vol 32 (3) ◽  
pp. 710-714
Author(s):  
Jin-jin WEI ◽  
Su-mei LI ◽  
Wen-juan LIU ◽  
Yan-jun ZANG
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Stereo Image ◽  
Objective Quality ◽  
Steerable Pyramid
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