DocumentCode
1990327
Title
The application of improved MKGA-BP algorithm in Chinese word segmentation
Author
He, Jia ; Wu, Jing
Author_Institution
Coll. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear
2011
fDate
16-18 Sept. 2011
Firstpage
4113
Lastpage
4066
Abstract
The limitation and improvement of MKGA-BP are mainly discussed in this paper. The improved algorithm could simplify the original parameters by increasing the amount of random entries. The results of the improved algorithm can achieve the desired goal with a lot of experiments. Then the new algorithm is applied to the model of Chinese word segmentation. It is proved that the improved algorithm is better than some previous BP algorithms.
Keywords
backpropagation; genetic algorithms; natural language processing; text analysis; Chinese word segmentation; MKGA-BP algorithm; backpropagation algorithm; monkey king genetic algorithm; random entry; Clustering algorithms; Educational institutions; Genetic algorithms; Heuristic algorithms; Mathematical model; Neurons; Optimization; Adaptive; Chinese Word Segmentation; Dynamic Network; MKGA-BP Algorithm; Random Entry;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location
Yichang
Print_ISBN
978-1-4244-8162-0
Type
conf
DOI
10.1109/ICECENG.2011.6057859
Filename
6057859
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