Neuro Fuzzy Systems: Sate-of-the-Art Modeling Techniques

Authors:
Ajith Abraham
Affiliations:
-
Venue:
IWANN '01 Proceedings of the 6th International Work-Conference on Artificial and Natural Neural Networks: Connectionist Models of Neurons, Learning Processes and Artificial Intelligence-Part I
Year:
2001

Citing 3
Cited 26

Neural-Network-Based Fuzzy Logic Control and Decision System

IEEE Transactions on Computers - Special issue on artificial neural networks
Deep combination of fuzzy inference and neural network in fuzzy inference software—FINEST

Fuzzy Sets and Systems - Special issue on connectionist and hybrid connectionist systems for approximate reasoning
An online self-constructing neural fuzzy inference network and its applications

IEEE Transactions on Fuzzy Systems

Adaptation of a Mamdani Fuzzy Inference System Using Neuro-Genetic Approach for Tactical Air Combat Decision Support System

AI '02 Proceedings of the 15th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Performance analysis of connectionist paradigms for modeling chaotic behavior of stock indices

Second international workshop on Intelligent systems design and application
A neuro-fuzzy framework for predicting ash properties in combustion processes

Neural, Parallel & Scientific Computations - Special issue: Advances in intelligent systems and applications
Modeling chaotic behavior of stock indices using intelligent paradigms

Neural, Parallel & Scientific Computations - Special issue: Advances in intelligent systems and applications
Intelligent systems: architectures and perspectives

Recent advances in intelligent paradigms and applications
Neuro-fuzzy modelling of export behaviour of multinational corporation subsidiaries

Neural, Parallel & Scientific Computations - Special issue: Computing intelligence in management
Decision support systems using hybrid neurocomputing

Design and application of hybrid intelligent systems
Application of adaptive neuro-fuzzy controller for SRM

Advances in Engineering Software
Intelligent web traffic mining and analysis

Journal of Network and Computer Applications - Special issue on computational intelligence on the internet
Modeling intrusion detection system using hybrid intelligent systems

Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
QoS provisioning by EFuNNs-based handoff planning in cellular MPLS networks

Computer Communications
Batch type local search-based adaptive neuro-fuzzy inference system (ANFIS) with self-feedbacks for time-series prediction

Neurocomputing
Integrating Ensemble of Intelligent Systems for Modeling Stock Indices

IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Computational intelligence tools for next generation quality of service management

Neurocomputing
Knowledge discovery by a neuro-fuzzy modeling framework

Fuzzy Sets and Systems
Export behaviour modeling using EvoNF approach

ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
Neural networks for QoS network management

IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Bio-inspired computing: constituents and challenges

International Journal of Bio-Inspired Computation
An analysis of the performances of intelligent hybrid decision support systems with applications in crisis management

AIKED'11 Proceedings of the 10th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
Intrusion detection using neural based hybrid classification methods

Computer Networks: The International Journal of Computer and Telecommunications Networking
Bridging the fuzzy, neural and evolutionary paradigms for automatic target recognition

Applied Intelligence
Soft computing methods applied to combination of one-class classifiers

Neurocomputing
Automatic estimation of the fusion method parameters to reduce rule base of fuzzy control complex systems

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence
A neuro-fuzzy method of forecasting the network traffic of accessing web server

FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Analyzing stability of algorithmic systems using algebraic constructs

ICT-EurAsia'13 Proceedings of the 2013 international conference on Information and Communication Technology
Dynamic learning model update of hybrid-classifiers for intrusion detection

The Journal of Supercomputing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Fusion of Artificial Neural Networks (ANN) and Fuzzy Inference Systems (FIS) have attracted the growing interest of researchers in various scientific and engineering areas due to the growing need of adaptive intelligent systems to solve the real world problems. ANN learns from scratch by adjusting the interconnections between layers. FIS is a popular computing framework based on the concept of fuzzy set theory, fuzzy if-then rules, and fuzzy reasoning. The advantages of a combination of ANN and FIS are obvious. There are several approaches to integrate ANN and FIS and very often it depends on the application. We broadly classify the integration of ANN and FIS into three categories namely concurrent model, cooperative model and fully fused model. This paper starts with a discussion of the features of each model and generalize the advantages and deficiencies of each model. We further focus the review on the different types of fused neuro-fuzzy systems and citing the advantages and disadvantages of each model.