A fuzzy rule-based algorithm to train perceptrons

J.L.Castro; M.Delgado; C.J.Mantas

首页> 外文期刊>Fuzzy sets and systems >A fuzzy rule-based algorithm to train perceptrons

【24h】

A fuzzy rule-based algorithm to train perceptrons

机译：基于模糊规则的感知器训练算法

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this paper, a method to train perceptrons using fuzzy rules is presented. The fuzzy rules linguistically describe how to upgrade the weights as well as to state the desired output of the neurons of the hidden layers. The version for networks with one hidden layer is carefully described and illustrated with examples.

机译：本文提出了一种使用模糊规则训练感知器的方法。模糊规则在语言上描述了如何升级权重以及如何声明隐藏层神经元的期望输出。带有一个隐藏层的网络版本将得到详细描述，并通过示例进行说明。

著录项

来源
《Fuzzy sets and systems》 |2001年第2期|p.359-367|共9页
作者
J.L.Castro; M.Delgado; C.J.Mantas;
展开▼
作者单位

展开▼
收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类模糊数学;
关键词
Fuzzy rules; Training; Neural networks;

机译：模糊规则;训练;神经网络;

相似文献

外文文献
中文文献
专利

1. Fuzzy Rules Interpolation for Sparse Fuzzy Rule-Based Systems Based on Interval Type-2 Gaussian Fuzzy Sets and Genetic Algorithms [J] . Chen S.-M., Chang Y.-C., Pan J.-S. IEEE Transactions on Fuzzy Systems . 2013,第3期

机译：基于区间2型高斯模糊集和遗传算法的稀疏模糊规则系统的模糊规则插值
2. Invariant Set of Weight of Perceptron Trained by Perceptron Training Algorithm [J] . Ho C. Y.-F., Ling B. W.-K., Iu H. H.-C. Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on . 2010,第6期

机译：感知器训练算法训练的感知器权重不变集
3. Ensemble learning of rule-based evolutionary algorithm using multi-layer perceptron for supporting decisions in stock trading problems [J] . Mabu Shingo, Obayashi Masanao, KuremotoGraduate Takashi Applied Soft Computing . 2015,第Null期

机译：使用多层感知器支持基于规则的进化算法的集成学习，以支持股票交易中的决策
4. A fuzzy control based algorithm to train perceptrons [C] . Delgado, M., Mantas, Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on . 1997

机译：基于模糊控制的感知器训练算法
5. A model validation methodology for isolating inconsistent knowledge between fuzzy rule-based and quantitative models using fuzzy simulation [D] . Kim, Gyooseok 1998

机译：一种使用模糊模拟隔离基于规则的模糊模型和定量模型之间的不一致知识的模型验证方法
6. Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction [O] . Randall Claywell, Laszlo Nadai, Imre Felde, 2020

机译：自适应神经模糊推理系统和多层训练用灰狼优化器培训的多层的感知模型用于预测太阳漫射分数
7. Classification of Marine Mammals Using Trained Multilayer Perceptron Neural Network With Whale Algorithm Developed With Fuzzy System [O] . Abbas Saffari, Mohammad Khishe 2020

机译：用培训的多层的Multoder Perceptron神经网络进行海洋哺乳动物的分类，用模糊系统开发了鲸瓦算法
8. Solution of inverse problem of fuzzy relational equation by using perceptron model [R] . Hirota, Kaoru, Ikoma, Norikazu 1991

机译：用感知器模型求解模糊关系方程的反问题

A fuzzy rule-based algorithm to train perceptrons

摘要

著录项

相似文献

相关主题

期刊订阅