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Adaptive neuro-fuzzy inference system with second order Sugeno consequents
Adaptive Neuro-Fuzzy Inference System (ANFIS) with first order Sugeno consequent is used widely in modeling applications. Though it has the advantage of giving good modeling results in many cases, it is not capable of modeling highly non-linear systems with high accuracy. In this paper, an efficient way for using ANFIS with Sugeno second order consequents is presented. Better approximation capabil…
Creator
- Alata, Mohanad
- Moaqet, Hisham
Subject
- ANFIS
- Substractive clustering
- Sugeno fuzzy inference systems
- fuzzy modeling
Type of item
- model:article
Creator
- Alata, Mohanad
- Moaqet, Hisham
Subject
- ANFIS
- Substractive clustering
- Sugeno fuzzy inference systems
- fuzzy modeling
Type of item
- model:article
Providing institution
Aggregator
Rights statement for the media in this item (unless otherwise specified)
- http://creativecommons.org/publicdomain/mark/1.0/
Rights
- policy:public
Source
- Neural network world: international journal on neural and mass-parallel computing and information systems | 2007 Volume:17 | Number:3
Identifier
- uuid:f7b440cd-171c-479e-8efa-fd1a66781286
- https://cdk.lib.cas.cz/client/handle/uuid:f7b440cd-171c-479e-8efa-fd1a66781286
- uuid:f7b440cd-171c-479e-8efa-fd1a66781286
Format
- bez média
- svazek
Language
- eng
- eng
Providing country
- Czech Republic
Collection name
First time published on Europeana
- 2021-06-01T12:19:28.026Z
Last time updated from providing institution
- 2021-06-01T12:19:28.026Z