A learning algorithm for tuning fuzzy rules based on the gradient descent method

机译：基于梯度下降法的模糊规则调整学习算法

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this paper, we suggest a utility learning algorithm for tuning fuzzy rules by using input-output training data, based on the gradient descent method. The major advantage of this method is that the fuzzy rules or membership functions can be learned without changing the form of the fuzzy rule table used in usual fuzzy controls, so that the case of weak-firing can be avoided, which is different from the conventional learning algorithm. Furthermore, we illustrated the efficiency of the suggested learning algorithm by means of several numerical examples.

机译：在本文中，我们提出了一种基于梯度下降法的效用学习算法，该算法通过使用输入-输出训练数据来调整模糊规则。该方法的主要优点是可以学习模糊规则或隶属函数，而无需更改常用模糊控制中使用的模糊规则表的形式，从而可以避免出现弱触发的情况，这与常规方法不同。学习算法。此外，我们通过几个数值示例说明了建议的学习算法的效率。

著录项

来源
《Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on》|1996年|P.55-61|共7页
会议地点
作者
Shi; Y.; Mizumoto; M.;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类无线电电子学、电信技术;
关键词

相似文献

外文文献
中文文献
专利

1. Acquisition of Fuzzy Rules Using the Heuristic Method and Gradient Descent Algorithm with Grey Relations [J] . Ching-China Ji, Lu-Ping Tsao, Tien-Sheng Tang, The Journal of grey system . 2005,第2期

机译：使用启发式方法和带有灰色关联关系的梯度下降算法获取模糊规则
2. WAVELET NEURO-FUZZY MODEL WITH HYBRID LEARNING ALGORITHM OF GRADIENT DESCENT AND GENETIC ALGORITHM [J] . AHMAD BANAKAR MOHAMMAD FAZLE AZEEM International Journal of Wavelets, Multiresolution and Information Processing . 2011,第2期

机译：具有梯度遗传和遗传算法的混合学习算法的小波神经模糊模型。
3. WAVELET NEURO-FUZZY MODEL WITH HYBRID LEARNING ALGORITHM OF GRADIENT DESCENT AND GENETIC ALGORITHM [J] . AHMAD BANAKAR, MOHAMMAD FAZLE AZEEM International Journal of Wavelets, Multiresolution and Information Processing . 2011,第2期

机译：具有梯度遗传和遗传算法的混合学习算法的小波神经模糊模型。
4. A learning algorithm for tuning fuzzy rules based on the gradient descent method [C] . Shi Y., Mizumoto M., Institute of Electric and Electronic Engineer IEEE International Conference on Fuzzy Systems . 1996

机译：一种基于梯度下降法调整模糊规则的学习算法
5. Stochastic Gradient Descent for Modern Machine Learning: Theory, Algorithms and Applications [D] . Kidambi, Rahul. 2019

机译：现代机器学习的随机梯度下降：理论，算法和应用
6. Research on an Improved Method for Foot-Mounted Inertial/Magnetometer Pedestrian-Positioning Based on the Adaptive Gradient Descent Algorithm [O] . Qiuying Wang, Juan Yin, Aboelmagd Noureldin, 2018

机译：基于自适应梯度下降算法的脚装惯性/磁强计行人定位改进方法研究
7. IVTURS: A linguistic fuzzy rule-based classification system based on a new interval-valued fuzzy reasoning method with tuning and rule selection [O] . Sanz Delgado, José Antonio, Fernández, Alberto, Bustince Sola, Humberto, 2013

机译：IVTURS：基于语言模糊规则的分类系统，基于带有调整和规则选择的新区间值模糊推理方法
8. Nonlinear Performance Seeking Control using Fuzzy Model Reference Learning Control and the Method of Steepest Descent [R] . Kopasakis, George 1997

机译：基于模糊模型参考学习控制和最速下降法的非线性性能寻求控制

A learning algorithm for tuning fuzzy rules based on the gradient descent method

摘要

著录项

相似文献

相关主题

期刊订阅