A novel hybrid algorithm for creating self-organizing fuzzy neural networks

Authors:
Omid Khayat;Mohammad Mehdi Ebadzadeh;Hamid Reza Shahdoosti;Ramin Rajaei;Iman Khajehnasiri
Affiliations:
Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran;Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran;Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran;Computer Engineering Department, Amirkabir University of Technology, Tehran, Iran;Electrical Engineering Department, Sharif University of Technology, Tehran, Iran
Venue:
Neurocomputing
Year:
2009

Citing 30
Cited 0

Algorithms for clustering data

Algorithms for clustering data
Adaptive fuzzy systems and control: design and stability analysis

Adaptive fuzzy systems and control: design and stability analysis
Essentials of fuzzy modeling and control

Essentials of fuzzy modeling and control
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)

Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems

Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Identification of functional fuzzy models using multidimensional reference fuzzy sets

Fuzzy Sets and Systems
Radial basis function based adaptive fuzzy systems and their applications to system identification and prediction

Fuzzy Sets and Systems
Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence

Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence
Constructing a fuzzy controller from data

Fuzzy Sets and Systems - Special issue on methods for data analysis in classificatin and control
A simple but powerful heuristic method for generating fuzzy rules from numerical data

Fuzzy Sets and Systems
A Robust Competitive Clustering Algorithm With Applications in Computer Vision

IEEE Transactions on Pattern Analysis and Machine Intelligence
About the use of fuzzy clustering techniques for fuzzy model identification

Fuzzy Sets and Systems
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Pattern Recognition with Fuzzy Objective Function Algorithms

Pattern Recognition with Fuzzy Objective Function Algorithms
An on-line algorithm for creating self-organizing fuzzy neural networks

Neural Networks
A novel hybrid algorithm for function approximation

Expert Systems with Applications: An International Journal
A self-organizing fuzzy neural network and its applications to function approximation and forecast modeling

Neurocomputing
Comparison of clustering algorithms for analog modulation classification

Expert Systems with Applications: An International Journal
Handling multiple objectives with particle swarm optimization

IEEE Transactions on Evolutionary Computation
Fuzzy function approximation with ellipsoidal rules

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Dynamic fuzzy neural networks-a novel approach to functionapproximation

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Efficiently solving general weapon-target assignment problem by genetic algorithms with greedy eugenics

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust clustering methods: a unified view

IEEE Transactions on Fuzzy Systems
A new approach to fuzzy modeling

IEEE Transactions on Fuzzy Systems
A transformed input-domain approach to fuzzy modeling

IEEE Transactions on Fuzzy Systems
A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks

IEEE Transactions on Fuzzy Systems
Robust TSK fuzzy modeling for function approximation with outliers

IEEE Transactions on Fuzzy Systems
Design for Self-Organizing Fuzzy Neural Networks Based on Genetic Algorithms

IEEE Transactions on Fuzzy Systems
A genetic-based neuro-fuzzy approach for modeling and control of dynamical systems

IEEE Transactions on Neural Networks
Orthogonal least squares learning algorithm for radial basis function networks

IEEE Transactions on Neural Networks

Quantified Score

Hi-index	0.01

Visualization

Abstract

A novel hybrid algorithm based on a genetic algorithm and particle swarm optimization to design a fuzzy neural network, named self-organizing fuzzy neural network based on GA and PSO (SOFNNGAPSO), to implement Takagi-Sugeno (TS) type fuzzy models is proposed in this paper. The proposed algorithm, as a new hybrid algorithm, consists of two phases. A tuning based on TS's fuzzy model is applied to identify the fuzzy structure, and also a fuzzy cluster validity index is utilized to determine the optimal number of clusters. To obtain a more precision model, GA and PSO are performed to conduct fine tuning for the obtained parameter set of the premise parts and consequent parts in the aforementioned fuzzy model. The proposed algorithm is successfully applied to three tested examples.