Novel Self-Organizing Takagi Sugeno Kang Fuzzy Neural Networks Based on ART-like Clustering
Neural Processing Letters
Artificial Intelligence in Medicine
A Self-Organizing Computing Network for Decision-Making in Data Sets with a Diversity of Data Types
IEEE Transactions on Knowledge and Data Engineering
Integrated Biometric Verification System Using Soft Computing Approach
Neural Processing Letters
Expert Systems with Applications: An International Journal
An improved fuzzy neural network based on T-S model
Expert Systems with Applications: An International Journal
A nature inspired Ying-Yang approach for intelligent decision support in bank solvency analysis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An online Bayesian Ying-Yang learning applied to fuzzy CMAC
Neurocomputing
HebbR2-Taffic: A novel application of neuro-fuzzy network for visual based traffic monitoring system
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A novel parametric fuzzy CMAC network and its applications
Applied Soft Computing
A fuzzy neural network with fuzzy impact grades
Neurocomputing
A novel self-organizing fuzzy rule-based system for modelling traffic flow behaviour
Expert Systems with Applications: An International Journal
Features extraction for speech emotion
Journal of Computational Methods in Sciences and Engineering
Neuro-fuzzy icu ventilator patients modeling
Journal of Computational Methods in Sciences and Engineering
Characteristics forecasting of hydraulic valve based on grey correlation and ANFIS
Expert Systems with Applications: An International Journal
Using an efficient immune symbiotic evolution learning for compensatory neuro-fuzzy controller
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
Fuzzy associative conjuncted maps network
IEEE Transactions on Neural Networks
A novel brain-inspired neural cognitive approach to SARS thermal image analysis
Expert Systems with Applications: An International Journal
GA-TSKfnn: Parameters tuning of fuzzy neural network using genetic algorithms
Expert Systems with Applications: An International Journal
A hypothalamic and piagetian fuzzy inference system: HtPFIS
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
ACPOP: ambiguity correction-based pseudo-outer-product fuzzy rule identification algorithm
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
HyFIS-Yager-gDIC: a self-organizing hybrid neural fuzzy inference system realizing Yager inference
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
eFSM: a novel online neural-fuzzy semantic memory model
IEEE Transactions on Neural Networks
A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning
IEEE Transactions on Neural Networks
Algorithm of pipeline leak detection based on discrete incremental clustering method
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Intelligent fabric hand prediction system with fuzzy neural network
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Expert Systems with Applications: An International Journal
A probabilistic fuzzy approach to modeling nonlinear systems
Neurocomputing
Using support vector machine for characteristics prediction of hydraulic valve
International Journal of Computer Applications in Technology
Supervised Pseudo Self-Evolving Cerebellar algorithm for generating fuzzy membership functions
Expert Systems with Applications: An International Journal
Cultural dependency analysis for understanding speech emotion
Expert Systems with Applications: An International Journal
SoHyFIS-Yager: A self-organizing Yager based Hybrid neural Fuzzy Inference System
Expert Systems with Applications: An International Journal
eT2FIS: An Evolving Type-2 Neural Fuzzy Inference System
Information Sciences: an International Journal
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Existing neural fuzzy (neuro-fuzzy) networks proposed in the literature can be broadly classified into two groups. The first group is essentially fuzzy systems with self-tuning capabilities and requires an initial rule base to be specified prior to training. The second group of neural fuzzy networks, on the other hand, is able to automatically formulate the fuzzy rules from the numerical training data. No initial rule base needs to be specified prior to training. A cluster analysis is first performed on the training data and the fuzzy rules are subsequently derived through the proper connections of these computed clusters. However, most existing neural fuzzy systems (whether they belong to the first or second group) encountered one or more of the following major problems. They are (1) inconsistent rule-base; (2) heuristically defined node operations; (3) susceptibility to noisy training data and the stability-plasticity dilemma; and (4) needs for prior knowledge such as the number of clusters to be computed. Hence, a novel neural fuzzy system that is immune to the above-mentioned deficiencies is proposed in this paper. This new neural fuzzy system is named the generic self-organizing fuzzy neural network (GenSoFNN). The GenSoFNN network has strong noise tolerance capability by employing a new clustering technique known as discrete incremental clustering (DIC). The fuzzy rule base of the GenSoFNN network is consistent and compact as GenSoFNN has built-in mechanisms to identify and prune redundant and/or obsolete rules. Extensive simulations were conducted using the proposed GenSoFNN network and its performance is encouraging when benchmarked against other neural and neural fuzzy systems.