Nonlinear function approximation using fuzzy functional SIRMs inference model

Authors:
Hirosato Seki
Affiliations:
Osaka Institute of Technology, Department of Technology Management, Osaka, Japan
Venue:
AIKED'12 Proceedings of the 11th WSEAS international conference on Artificial Intelligence, Knowledge Engineering and Data Bases
Year:
2012

Citing 10
Cited 0

Fuzzy controls under various fuzzy reasoning methods

Information Sciences: an International Journal - Application of Fuzzy Set Theory
Upswing and stabilization control of inverted pendulum system based on the SIRMs dynamically connected fuzzy inference model

Fuzzy Sets and Systems
A new fuzzy controller for stabilization of parallel-type double inverted pendulum system

Fuzzy Sets and Systems
A proposal of SIRMs dynamically connected fuzzy inference model for plural input fuzzy control

Fuzzy Sets and Systems - Fuzzy control
Anti-swing and positioning control of overhead traveling crane

Information Sciences: an International Journal
On the monotonicity of fuzzy-inference methods related to T-S inference method

IEEE Transactions on Fuzzy Systems - Special section on computing with words
A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms

IEEE Transactions on Fuzzy Systems
Fuzzy identification using fuzzy neural networks with stable learning algorithms

IEEE Transactions on Fuzzy Systems
On the Generalization of Single Input Rule Modules Connected Type Fuzzy Reasoning Method

IEEE Transactions on Fuzzy Systems
On the Equivalence Conditions of Fuzzy Inference Methods—Part 1: Basic Concept and Definition

IEEE Transactions on Fuzzy Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

Since the single input rule modules connected fuzzy inference model (SIRMs model) is proposed by Yubazaki, Yi et al., many researches on the extension of the SIRMs model have been reported. Moreover, the fuzzy functional SIRMs inference model, in which the consequent parts of the functional-type SIRMs model are generalized to fuzzy function, has proposed as one of various extension SIRMs models. In this paper, we apply the fuzzy functional SIRMs inference model to identification of nonrinear funcions, and show the applicability of the model.