Quaternion neuro-fuzzy learning algorithm for generation of fuzzy rules
Authors:
- 1 December 2016
- journal article
- research article
- Published by Elsevier in Neurocomputing
- Vol. 216, 638-648
Abstract
No abstract availableKeywords
Funding Information
- Japanese Society for Promotion of Sciences (16J11219, 15K00333)
This publication has 19 references indexed in Scilit:
- Adaptive neuro-fuzzy computing technique for suspended sediment estimationAdvances in Engineering Software, 2009
- An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDMExpert Systems with Applications, 2009
- Genetic tracker with adaptive neuro-fuzzy inference system for multiple target trackingExpert Systems with Applications, 2007
- Intelligent control of a stepping motor drive using an adaptive neuro?fuzzy inference systemInformation Sciences, 2005
- A neuro-fuzzy approach to obstacle avoidance of a nonholonomic mobile robot2004
- Automatic generation of fuzzy rule-based models from data by genetic algorithmsInformation Sciences, 2003
- Back-propagation fuzzy system as nonlinear dynamic system identifiers2003
- A learning algorithm for tuning fuzzy rules based on the gradient descent method2002
- Some considerations on conventional neuro-fuzzy learning algorithms by gradient descent methodFuzzy Sets and Systems, 2000
- A Method of Fuzzy Rules Generation Based on Neuro-Fuzzy Learning AlgorithmJournal of Japan Society for Fuzzy Theory and Systems, 1996