| 引用本文: | 李志刚,胡守仁.表示结构化知识的神经网络模型.[J].国防科技大学学报,1997,19(1):41-44.[点击复制] |
| Li Zhigang,Hu Shouren.A Neural Network Model for Representation of Structured Knowledge[J].Journal of National University of Defense Technology,1997,19(1):41-44[点击复制] |
|
| |
|
|
| 本文已被：浏览 6124次 下载 6270次 |
| 表示结构化知识的神经网络模型 |
| 李志刚, 胡守仁 |
|
(国防科技大学 计算机系 湖南 长沙 410073)
|
| 摘要: |
| 研究和设计了一种高度结构化的神经网络模型HSNN, 它能方便地对结构化知识进行表示和处理。文中给出了HSNN 的设计过程, 并讨论了HSNN 在继承、非单调推理和信息检索等方面的应用。 |
| 关键词: 神经网络, 人工智能, 知识表示 |
| DOI： |
| 投稿日期：1995-11-10 |
| 基金项目: |
|
| A Neural Network Model for Representation of Structured Knowledge |
| Li Zhigang, Hu Shouren |
|
(Department of Computer Science, NUDT, Changsha, 410073)
|
| Abstract: |
| Knowledge representation of normal neural networks is generally distributed, so it is difficult for them to process structured knowledge. In this paper, we research on and design a high-structured neural network HSNN for solving these problems. The process of designing a HSNN is shown and the applications of HSNN in inheritance, non-monotonous reason and information retrieval are discussed. |
| Keywords: neural networks, artificial intelligence, knowledge representation |
|
|
|
|
|
