| 基于人工神经网络的编组站分类研究 |
| |
| 引用本文： | 畅博.基于人工神经网络的编组站分类研究[J].山西科技,2012(2):24-26. |
| |
| 作者姓名： | 畅博 |
| |
| 作者单位： | 铁道第三勘察设计院集团有限公司线站处站一室,天津市,300142 |
| |
| 摘 要： | 针对目前编组站分类以定性分析为主、客观性较弱的情况,提出利用人工神经网络通过无导师学习,对编组站进行分类。实例表明,该方法客观,分类结果符合现实,为科学定量地对编组站分类提供了一种新方法。
|
| 关 键 词： | 编组站 分类 人工神经网络 无导师学习 |
Study on the Classification of Marshalling Stations Based on Artificial Neural Network |
| |
| CHANG Bo.Study on the Classification of Marshalling Stations Based on Artificial Neural Network[J].Shanxi Science and Technology,2012(2):24-26. |
| |
| Authors: | CHANG Bo |
| |
| Abstract: | Considering the existing classification of marshalling stations is based on qualitative analysis and less objective,the artificial neural network(ANN) was put forward to determine the class of marshalling stations by unsupervised learning.The results show that the approach is more objective and the classification is realistic.A new approach is provided for classification of marshalling stations scientifically and quantificationally. |
| |
| Keywords: | marshalling station classification artificial neural network unsupervised learning |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
