| 基于遗传神经算法优化的汉语分词模型 |
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| 引用本文： | 陈琳,何嘉.基于遗传神经算法优化的汉语分词模型[J].西南师范大学学报(自然科学版),2007,32(4):90-93. |
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| 作者姓名： | 陈琳 何嘉 |
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| 作者单位： | 成都信息工程学院,计算机系,成都,610225 |
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| 基金项目： | 成都信息工程学院科研基金资助(CRF200624) |
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| 摘 要： | 针对目前汉语分词系统中BP算法收敛速度慢等难题,本文将基于遗传的BP神经网络算法用于汉语分词模型,此模型结合了遗传算法和BP网络的优点.实验结果表明:该优化模型完全达到了汉语分词要求,并且在分词速度上也明显优于传统的BP神经网络,具有高精确性、收敛速度快等特点.
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| 关 键 词： | 神经网络 汉语分词 遗传算法 BP算法 |
| 文章编号： | 1000-5471（2007）04-0090-04 |
| 修稿时间： | 2006-11-03 |
Optimization of Chinese Word Segmentation Based on Neural Network and Genetic Algorithm |
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| CHEN Lin,HE Jia.Optimization of Chinese Word Segmentation Based on Neural Network and Genetic Algorithm[J].Journal of Southwest China Normal University(Natural Science),2007,32(4):90-93. |
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| Authors: | CHEN Lin HE Jia |
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| Institution: | Dept of Computer, Chengdu University of Information Technology, Chengdu 610225, China |
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| Abstract: | For the Chinese word segmentation problem,the BP algorithm has relatively slow convergence speed.This paper introduces genetic algorithm to optimize Chinese word segmentation system based on neural network and the model has the advantages of both neural network and genetic algorithm.Experiment results show that the optimized model perfectly meets the requirement of the Chinese word segmentation system and can do word segmentation faster compared with the conventional BP neural network.The optimized model has the advantages of high accuracy and convergence speed. |
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| Keywords: | neural network Chinese word segmentation Genetic Algorithm(GA) BP genetic algorithm |
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