| 引用本文: | 肖 平，邓 达，余英林.模糊联想推理及其实现[J].控制理论与应用,1999,16(4):562~565.[点击复制] |
| Xiao Ping，Deng Da and Yu Yinglin.Fuzzy Associative Inference and Its Implementation[J].Control Theory and Technology,1999,16(4):562~565.[点击复制] |
|
| 模糊联想推理及其实现 |
| Fuzzy Associative Inference and Its Implementation |
| 摘要点击 803 全文点击 375 投稿时间：1997-06-23 修订日期：1998-05-12 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 |
| 1999,16(4):562-565 |
| 中文关键词 模糊神经网络 模糊推理 联想记忆 增强算法 |
| 英文关键词 fuzzy neural networks fuzzy associative memory augmenting learning |
| 基金项目 |
|
| 中文摘要 |
| 本文给出了用模糊联想记忆网络实现肯定前件式，否定后件式或同时包含这两种模糊推理形式的充要条件，并提出了一个增加网络神经元的增强学习算法，这种学习算法能够可靠有效地用于任意多个基于规则的不同形式模糊推理. |
| 英文摘要 |
| In this paper，the sufficient and necessary conditions for fuzzy inference premise or negative consequence or both,to be implemented with fuzzy associative memory networks,is proposed.Based on these onditions,a kind of learning algorithm by increasing neurons is also presented,which is called as augmenting learning and is efficient and reliable method to implement the three sorts of fuzzy inference with single system. |