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
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;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2011 International Conference on
Conference_Location :
Yichang
Print_ISBN :
978-1-4244-8162-0
DOI :
10.1109/ICECENG.2011.6057859
