摘要
简要探讨了BP神经网络的学习过程与主要参数,分析了基于BP神经网络的中文分词算法,并在用joone-editor建立的神经网络模型中加以实验。
An analysis of the main parameters of the BP-neural-network-based algorithm for the Chinese word segmentation is carried out while the learning process is discussed in this paper.The algorithm undergoes a test in the neural network model established in joone-editor is proved to be much better than MM Analyzer.
出处
《佛山科学技术学院学报（自然科学版）》
CAS
2012年第2期33-37,共5页
Journal of Foshan University(Natural Science Edition)
