FUNEUS: A Neurofuzzy Approach Based on Fuzzy Adaline Neurons

Authors:
Constantinos Koutsojannis;Ioannis Hatzilygeroudis
Affiliations:
Department of Computer Engineering & Informatics, School of Engineering, University of Patras, Hellas (Greece);Department of Computer Engineering & Informatics, School of Engineering, University of Patras, Hellas (Greece)
Venue:
Proceedings of the 2006 conference on STAIRS 2006: Proceedings of the Third Starting AI Researchers' Symposium
Year:
2006

Citing 9
Cited 1

Neural network learning and expert systems

Neural network learning and expert systems
Combining Symbolic and Neural Learning

Machine Learning
Neuro-fuzzy architectures and hybrid learning

Neuro-fuzzy architectures and hybrid learning
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing

Neuro-Fuzzy Pattern Recognition: Methods in Soft Computing
Combining Expert Systems and Adaptive Hypermedia Technologies in a Web Based Educational System

ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Computational Intelligence: Principles, Techniques and Applications

Computational Intelligence: Principles, Techniques and Applications
System design by constraint adaptation and differential evolution

IEEE Transactions on Evolutionary Computation
Heterogeneous fuzzy logic networks: fundamentals and development studies

IEEE Transactions on Neural Networks

Using a Neurofuzzy Approach in a Medical Application

KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference

Quantified Score

Hi-index	0.00

Visualization

Abstract

Today hybrid computing is a popular framework for solving complex problems. If we have knowledge expressed in rules, we can build an Expert System, and if we have data, or can learn from stimulation (training) then we can use Artificial Neural Networks. In this paper we present the FUzzy NEUrule System (FUNEUS) which is a Neuro Fuzzy approach based on fuzzy Adaline neurons and uses Differential Evolution for optimization of membership functions. According to previous Neuro-fuzzy approaches and a well-defined hybrid system HYMES, FUNEUS is an attempt to the direction for integration of neural and fuzzy components with Differential evolution. Despite the fact that it remains difficult to compare neurofuzzy systems conceptually and evaluate their performance, early experimental results proved a promising performance and the need for further evaluation in other application domains.