A new method of shredded paper image restoration based on ant colony algorithm

Author(s):  
Zixiao Pan ◽  
Mei Wang
2011 ◽  
Vol 308-310 ◽  
pp. 2486-2489
Author(s):  
Zhi Qi Huang

The thesis builds the optimization model for the self-balacing torsion bar, On the basis of the Ant Colony Algorithm, designs the Ant Colony Algorithm procedure using C Language and optimizes torsion bar diameter. Results show the Ant Colony Algorithm is feasible and provides a new method choosing torsion bar diameter. The max difference value is 1.12% between optimizing results and theoretical results.


2014 ◽  
Vol 9 (5) ◽  
Author(s):  
Ming Jiang ◽  
Taotao Zha ◽  
Xingqi Wang ◽  
Jingfan Tang ◽  
Chunming Wu

2011 ◽  
Vol 460-461 ◽  
pp. 136-141
Author(s):  
Hong Ye Xue ◽  
Wei Li Ma

This paper studies the traits of Ant Colony Algorithm and BP neural network, at the same time it combines the ant colony optimization algorithm with BP neural network and applies them at the image restoration. This algorithm solves some problems of BP, such that the BP algorithm gets in local minimum easily, the speed of convergence is slowly and sometimes brings oscillation effect etc. that is reason the quality of restored image can be improved significantly. Besides, the article details ACO-BP algorithm’s theory and steps, and apply the improved algorithm in the image restoration. which reduces the MSE(Mean Square Error) of the optimization algorithm, and makes the speed of convergence of BP neural network faster. This algorithm is validated validly by the method of Simulation .


2011 ◽  
Vol 121-126 ◽  
pp. 3870-3874
Author(s):  
Xue Yan Sun ◽  
Xing Yu Jiang ◽  
Shi Jie Wang ◽  
Xin Min Zhang

To establish the configuration relations of complex product in the process of customization into supply chain, a new method of product configuration based on polychromatic graph theory was put forward. Then the optimum product structure configuration mathematical model was got and the improved ant colony algorithm was employed to solve the problem. The results showed that the solution quality got by improved ant colony algorithm was better than the solution got by traditional ant colony algorithm, and the product configuration model can exactly present the configuration information, product attribute and assembly relation for complex product. The customization system offers a kind of new way to meet customers’ requirements that the customers are eager for consumption of varieties, small batch production, short cycle and high quality.


2011 ◽  
Vol 339 ◽  
pp. 295-298
Author(s):  
Pin Yang Rao

The torsion bar is one of the major parts of converter tilting mechanism and is widely used for light weight, large energy stored in unit mass, simple structure, convenient arrangement without maintenance demand, etc. Results not only show the Ant Colony Algorithm is feasible and provides a new method choosing torsion bar diameter but also is satisfied.Based on maximum deformation energy and not exceeding the allowable stress values of a torsion-bar spring, the thesis builds the optimization model for the self-balancing torsion bar.


2012 ◽  
Vol 490-495 ◽  
pp. 120-123 ◽  
Author(s):  
Lin Gui

In this paper, a new method for the optimization design of ant colony algorithm is used to extract the edge character of the model in the air of the image. The organization is as follows: the second part is a basic ant colony algorithm in the edge of the model feature extraction. The result of the advisory council on AIDS will be compared with the results analysis, and think this is smart operator most edge feature extraction operator. Contrast indicates that the algorithm can effectively edge feature extraction, especially the image.


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