Spatial Data Grid Framework Based on Super-Peer Network Model

Author(s):  
Lingkui Meng ◽  
Wenjun Xie ◽  
Changqing Huang
2014 ◽  
Vol 543-547 ◽  
pp. 1934-1938
Author(s):  
Ming Xiao

For a clustering algorithm in two-dimension spatial data, the Adaptive Resonance Theory exists not only the shortcomings of pattern drift and vector module of information missing, but also difficultly adapts to spatial data clustering which is irregular distribution. A Tree-ART2 network model was proposed based on the above situation. It retains the memory of old model which maintains the constraint of spatial distance by learning and adjusting LTM pattern and amplitude information of vector. Meanwhile, introducing tree structure to the model can reduce the subjective requirement of vigilance parameter and decrease the occurrence of pattern mixing. It is showed that TART2 network has higher plasticity and adaptability through compared experiments.


Author(s):  
Domenico Beneventano ◽  
Sonia Bergamaschi ◽  
Francesco Guerra ◽  
Maurizio Vincini
Keyword(s):  

2014 ◽  
Vol 8 (6) ◽  
pp. 965-991 ◽  
Author(s):  
Sahar M. Ghanem ◽  
Mohamed A. Ismail ◽  
Samia G. Omar

2006 ◽  
Author(s):  
Hua Liu ◽  
Deren Li ◽  
Weiying Yang ◽  
Tao Shang

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