Computer Network Classification 计算机网络的分类
neural network classification 类神经网路分类法
BP neural network classification BP神经网络分类
Bayesian Network Classification Rule tutorial 说明贝叶思网络分类规则例程
network classification system 网络分类体系
network classification systems 网络分类法
network classification methods 网络分类法
optical network classification 光网络分类
Bayesian network classification 贝叶斯网络分类
As a frequently used method of ATC, neural network classification method has the advantages of self-learning ability and robustness, but also has the shortcomings of long training time and poor interpretability.
神经网络分类法作为一种常用的文本自动分类方法,具有较强的自学习性和鲁棒性,但同时也普遍存在训练时间长,可解释性较差等缺点。
参考来源 - 基于神经网络的文本自动分类系统研究·2,447,543篇论文数据，部分数据来源于NoteExpress
It is mainly of two kinds, Naive Bayesian Classification and Bayesian Belief Network Classification.
它主要有两种分类方法：一种为朴素贝叶斯分类，另一种为贝叶斯信念网络分类。
The average recognition accuracy of model reached 98% by building the BP neutral network classification model.
采用BP神经网络建立分类模型，模型平均识别准确率达98%。
Then, according to the traits of urban public traffic network classification planning, a set of evaluation criteria and evaluation method are presented.
最后根据公交线网分级规划的特点，提出一组评价公交线网分级规划的指标体系和评价方法。
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