| 摘要: |
| 介绍了自组织神经网络的原理算法及其在盾构选型中的应用.侧重讨论了自组织神经网络的竞争特性、自学习能力与ISODATA聚类分析法.试验表明,只要样本空间映射合理,这种自组织无监督的神经网络具有很好的自学习功能,在工程中具有广泛的应用前景. |
| 关键词: 自组织神经网络,聚类分析法,盾构选择 |
| DOI： |
| 修订日期：1998-10-15 |
| 基金项目: |
|
| An Self-Organization-ANN Based Selecting for the Tunneling Shields |
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| () |
| Abstract: |
| The principle, algorithm and application in
Selecting Tunneling Shields of Self-Organization-ANN are introduced. It includes
competitive feature and self-learning of self-organization-ANN, and clustering analysis
method ISODATA. The test proves that if |
| Key words: self-organization-ANN, clustering analysis method, selecting
the tunneling shield |
