| 基于正相关信息的Fuzzy推理规则自生成研究及应用 |
| |
| 引用本文： | 魏林,尹玉萍. 基于正相关信息的Fuzzy推理规则自生成研究及应用[J]. 机电一体化, 2009, 15(5): 56-58. DOI: 10.3969/j.issn.1007-080X.2009.05.009 |
| |
| 作者姓名： | 魏林 尹玉萍 |
| |
| 作者单位： | 辽宁工程技术大学理学院,阜新,123000;辽宁工程技术大学电气与控制工程学院,葫芦岛,125105 |
| |
| 摘 要： | 为了在先验经验少、结构复杂的控制系统中，充分利用有效的统计样本信息来生成Fuzzy控制规则，克服统计正相关信息控制规则自生成技术，在大样本情况下得到模糊特异析取标准式有过多最小项的问题，利用模糊模式识别的方法，对Fuzzy推理规则自生成方法进行了改进研究，并通过试验仿真证明了该方法的可行性和有效性．
|
| 关 键 词： | 统计正相关 模糊特异析取标准式 最小项 模糊模式识别 |
Based on the Relevant Information Rules of Self-generated Fuzzy Reasoning Research and Application |
| |
| Abstract: | In order to prior experience in the less and complex structure of the control system, make full use of effective statistical samples to generate Fuzzy control rules; In large numbers of sample cases, overcome the statistical informations on the relevantion generate rules of self-control existing too many minimum standards of the Fuzzy-specific standard-disjunction. The paper＇s use of fuzzy pattern recognition method for the inference rules since Fuzzy generation methods to do improving research and testing through simulation and prove the feasibility and effectiveness. |
| |
| Keywords: | statistics relevantion fuzzy specific standard disjunction mminimum fuzzy pattern recognition |
| 本文献已被 维普 万方数据 等数据库收录！ |
