Pattern Recognition Letters
Novel Self-Organizing Takagi Sugeno Kang Fuzzy Neural Networks Based on ART-like Clustering
Neural Processing Letters
Artificial Intelligence in Medicine
Product Demand Forecasting with a Novel Fuzzy CMAC
Neural Processing Letters
Efficient and interpretable fuzzy classifiers from data with support vector learning
Intelligent Data Analysis
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
Efficient and interpretable fuzzy classifiers from data with support vector learning
ICCOMP'05 Proceedings of the 9th WSEAS International Conference on Computers
Expert Systems with Applications: An International Journal
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
Using an efficient immune symbiotic evolution learning for compensatory neuro-fuzzy controller
IEEE Transactions on Fuzzy Systems
A new method for design and reduction of neuro-fuzzy classification systems
IEEE Transactions on Neural Networks
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
ACPOP: ambiguity correction-based pseudo-outer-product fuzzy rule identification algorithm
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
eFSM: a novel online neural-fuzzy semantic memory model
IEEE Transactions on Neural Networks
A probabilistic fuzzy approach to modeling nonlinear systems
Neurocomputing
Supervised Pseudo Self-Evolving Cerebellar algorithm for generating fuzzy membership functions
Expert Systems with Applications: An International Journal
A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling
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
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A pseudo-outer product based fuzzy neural network using the compositional rule of inference and singleton fuzzifier [POPFNN-CRI(S)] is proposed in this paper. The correspondence of each layer in the proposed POPFNN-CRI(S) to the compositional rule of inference using standard T-norm and fuzzy relation gives it a strong theoretical foundation. The proposed POPFNN-CRI(S) training consists of two phases; namely: the fuzzy membership derivation phase using the novel fuzzy Kohonen partition (FKP) and pseudo Kohonen partition (PFKP) algorithms, and the rule identification phase using the novel one-pass POP learning algorithm. The proposed two-phase learning process effectively constructs the membership functions and identifies the fuzzy rules. Extensive experimental results based on the classification performance of the POPFNN-CRI(S) using the Anderson's Iris data are presented for discussion. Results show that the POPFNN-CRI(S) has taken only 15 training iterations and misclassify only three out of all the 150 patterns in the Anderson's Iris data.