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Displaying 1-6 out of 6 total
Image Recognition Technology in Intelligent Cotton Harvesting Machine
Found in: Information Technology, Computer Engineering and Management Sciences, International Conference of
By Mulan Wang,Kun Liu,Xiaoxia Li,Rong Jiang
Issue Date:September 2011
pp. 320-323
In view of the functional demands of the electrical control system for the intelligent cotton harvesting machine, the machine vision technology is employed. A cotton recognition method is proposed based on Hough transform. When the cottons gather together ...
 
Pansystems Study on Computation Thought and Method
Found in: Education Technology and Computer Science, International Workshop on
By Xiaoxia Li, Xingcheng Liu
Issue Date:March 2010
pp. 610-613
In the field of computer science, lots of studies have made concrete theories and techniques rapidly developed. Relatively studies on philosophy of these theories and techniques are very few and have fallen far behind with concrete science. Pansystems meth...
 
Predicting the Aging Rate of Capacity in Ni/H Battery Using Artificial Neural Network
Found in: Computational Intelligence and Design, International Symposium on
By Wei You, Zhen Qiao, Xiaoxia Li, Fan Feng, Weiei Huo, Haibo Wang
Issue Date:December 2009
pp. 400-404
Back-propagation artificial neural network was developed to study the relationship between the aging rates of capacity in Ni/H battery and alloying elements of cathode materials. Leave-one out method was used to train the ANN model. Test results showed tha...
 
Using procedure recovery approach to exchange feature-based data among heterogeneous CAD systems
Found in: International Conference on Computer Supported Cooperative Work in Design
By Xiaoxia Li, Fazhi He, Xiantao Cai, Yuan Chen, Huajun Liu
Issue Date:April 2009
pp. 716-721
Data exchange is one of key issues in collaborative design. The purpose of feature-based data exchange is that the target model is editable after being exchanged. This is the reason why nowadays feature-based data exchanges become the research focus beyond...
 
Medium-Long Power Load Forecasting Based on Improved Grey BP Model
Found in: Education Technology and Computer Science, International Workshop on
By Xiaoxia Li, Prijun Zhang
Issue Date:March 2009
pp. 366-368
The power load forecasting precision being influenced by many factors, the traditional forecasting tools are not very taking the role. In fact, BP network has the characteristics of the applicable and self-learning, and grey method has the growth character...
 
Electrical Load Forecasting Based on Fuzzy Wavelet Neural Networks
Found in: Future BioMedical Information Engineering, International Seminar on
By Xiaoxia Li, Yanli Zhang, Liya Cai
Issue Date:December 2008
pp. 122-125
In view of the defects of the prediction model based on neural network, such as when doing prediction of nonlinear sequence, it is likely to fall into local hypo-strong point, and the rate of training is very slow, based on the traditional prediction model...
 
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