Study on Oil Quality Evaluation System and its Implementation Based on Multi-Information Fusion

2011 ◽  
Vol 197-198 ◽  
pp. 1486-1493
Author(s):  
Xiong Xi Wu
Keyword(s):  
Neural Network ◽  
Information Fusion ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Oil Quality ◽  
Fusion Technology ◽  
Model Based ◽  
Quality Evaluation System ◽  
Quality Evaluation Model

This paper presents the oil quality evaluation system and establishes the two-stage fusion model based on multi-sensor information fusion technology. It also develops the oil quality evaluation model based on neural network model. With the advantages of multi-source information technology, the model implements comprehensive evaluation for oil quality, and provides a set of neural network training process and its results which achieve the oil quality evaluation based on information fusion. The case study shows that the prediction results for four kinds of oil samples by evaluation model based on multi-source fusion are consistent with the actual results. The comparison between operation test trend predictions and actual tests also shows the correctness of the oil quality evaluation model. The proposed multi-information fusion technology for oil quality evaluation system improves the evaluation accuracy and reduces dependence on technical personnel’s analysis experience, which is of great importance for improving the technical management level and the awareness of oil lubrication properties.

Sensitivity Analysis of the Quality Evaluation System for Baikal Skullcap Root

2010 ◽  
Vol 40-41 ◽  
pp. 212-219
Author(s):  
Ke Li ◽  
Wei Cheng ◽  
Xiao Jian Liu ◽  
Shu Bin Li ◽  
En Guang Hou ◽  
...  
Keyword(s):  
Sensitivity Analysis ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Chromatographic Fingerprint ◽  
Traditional Chinese Herbal Medicine ◽  
Chinese Herbal ◽  
Sensitivity Indices ◽  
Quality Evaluation System ◽  
Quality Evaluation Model

In this paper, with the aid of a quality evaluation model, we study sensitivity analysis of the quality evaluation system for Baikal skullcap root and compute related sensitivity indices, hence determine the response of pharmacological effect under the model by varying chromatographic fingerprint data. This result is new and provides us with a feasible method for the quality evaluation of Traditional Chinese Herbal Medicine.

scholarly journals College English Teaching Quality Evaluation System Based on Information Fusion and Optimized RBF Neural Network Decision Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yajun Chen
Keyword(s):  
Neural Network ◽  
Information Fusion ◽  
Evaluation System ◽  
Quality Evaluation ◽  
Rbf Neural Network ◽  
Teaching Quality ◽  
Decision Algorithm ◽  
College English ◽  
English Teaching ◽  
Quality Evaluation System

In the process of deepening and developing the current higher education reform, people pay more and more attention to the research of college English education. The key to improve the college English education is to improve the quality of education, and learning evaluation is the key measure to improve the quality of education and training. This paper mainly studies the college English teaching quality evaluation system based on information fusion and optimized RBF neural network decision algorithm. This paper analyzes the main problems and complexity of creating an ideal learning quality evaluation system. On the basis of analyzing the advantages and disadvantages of the previous learning quality evaluation methods, this paper summarizes the existing learning quality evaluation methods and puts forward some suggestions according to the existing evaluation methods. A learning quality evaluation model based on RBF algorithm of neural network is proposed. RBF regularization network method, RBF neural network decision algorithm, and experimental investigation method are used to study the college English teaching quality evaluation system based on information fusion and optimization of RBF neural network decision algorithm. By innovating teaching methods and enriching teaching means, college students’ thirst for English knowledge can be aroused, and teachers’ teaching level can be improved. The results show that 50% of college students think that the level of college English teaching is average and needs to be improved. In the performance evaluation system of college English teaching quality based on information fusion and optimized RBF neural network decision algorithm, it is necessary to establish a learning evaluation system, monitor the learning quality in real time, find problems and improve them in time, and recognize the current situation of education.

Research on Comprehensive Quality Evaluation System for Computer Supported Cooperative Design of Mould

2011 ◽  
Vol 188 ◽  
pp. 667-670
Author(s):  
Yong Zhong Wang ◽  
Min Li Zheng ◽  
Z.Q. Man ◽  
W. Li
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Design Evaluation ◽  
Fuzzy Evaluation ◽  
Design Quality ◽  
Cooperative Design ◽  
Model Based ◽  
Quality Evaluation System

This paper develops a mould computer supported cooperative design platform based on internet. Methods to evaluate the cooperative design quality of enterprises that take part in cooperative design are researched. A mould computer supported cooperative design evaluation architecture is built and an evaluation model based on fuzzy evaluation is established, based on which, a comprehensive quality evaluation system for computer supported cooperative design of mould is developed.

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