Forecasting of rockbursts in deep underground engineering based on abstraction ant colony clustering algorithm

2014 ◽  
Vol 76 (3) ◽  
pp. 1625-1649 ◽  
Author(s):  
Wei Gao
Keyword(s):  
Clustering Algorithm ◽  
Ant Colony ◽  
Underground Engineering ◽  
Ant Colony Clustering ◽  
Deep Underground

The Research of Key Factors Influencing Ecological Civilization Consciousness of College Students Based on Ant Colony Clustering Algorithm

2014 ◽  
Vol 472 ◽  
pp. 894-898
Author(s):  
Wen Jiao Xing ◽  
Xue Hua Zhang ◽  
Hong Wei Zhang
Keyword(s):  
College Students ◽  
Clustering Algorithm ◽  
Well Being ◽  
Ant Colony ◽  
Human Consciousness ◽  
Key Factors ◽  
Ecological Civilization ◽  
Ant Colony Clustering ◽  
First Time

Ecological civilization construction is related to not only peoples well-being, but also the long term plan of a countrys development and revitalization. This research applied ant colony clustering algorithm to study the feasibility and key factors of ecological civilization promotion in the college students It is the first time that quantitative method was introduced into the human consciousness research. The results show that college students have known the situation of resources and environmental problems well, which is a advantage for the promotion of ecological civilization concept. However, the role that colleges play in ecological civilization promotion has not performed fully. And above two items are the key factors to promote ecological civilization promotion.

Application of Ant Colony Algorithm in Plant Leaves Classification Based on Infrared Spectroscopy Analysis

2014 ◽  
Vol 633 ◽  
pp. 503-506
Author(s):  
Mei Lin Gao Sun ◽  
Ping Wu ◽  
Kai Li ◽  
Zhen Hua Gen
Keyword(s):  
Infrared Spectroscopy ◽  
Acer Saccharum ◽  
Ant Colony Algorithm ◽  
Clustering Algorithm ◽  
Near Infrared ◽  
Ant Colony ◽  
Plant Leaves ◽  
Process Data ◽  
Spectroscopy Analysis ◽  
Ant Colony Clustering

Intelligent classification is realized according to different components of featured information included in near infrared spectrum data of plants. The core of this theory is to research applications of ant colony algorithm in spectral analysis of plant leaves through theories and experiments. In aspect of theoretical exploration, the built-in function of clustering algorithm is used to compress and process data. In aspect of experimental research, the near infrared diffuse emission spectrum curves of the leaves of Cinnamomum camphora and Acer saccharum Marsh in two groups, which have 75 leaves respectively. Then, the obtained data are processed using ant colony algorithm and the same leaves can be classified as a class by ant colony clustering algorithm. Finally, the two groups of data are classified into two classes. Our results show the distinguishability can be 100%. Keywords:Near infrared spectroscopy; ant colony algorithm; clustering algorithm; signal processing

An Improved Ant Colony Clustering Algorithm

2012 ◽  
pp. 1515-1521 ◽  
Author(s):  
Weian Tao ◽  
Yan Ma ◽  
Jinghua Tian ◽  
Mingyong Li ◽  
Wenshu Duan ◽  
...  
Keyword(s):  
Clustering Algorithm ◽  
Ant Colony ◽  
Ant Colony Clustering
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