A Handwritten Numeral Character Classification Using Tolerant Rough Set
IEEE Transactions on Pattern Analysis and Machine Intelligence
A computerized causal forecasting system using genetic algorithms in supply chain management
Journal of Systems and Software
Evolutive Identification of Fuzzy Systems for Time-Series Prediction
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Support Vector Machine Ensemble with Bagging
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Evolving two-dimensional fuzzy systems
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Human Face Detection in Digital Video Using SVMEnsemble
Neural Processing Letters
Time-series forecasting using flexible neural tree model
Information Sciences: an International Journal
Fuzzy Modeling Based on Ordinary Fuzzy Partitions and Nearest Neighbor Clustering
Journal of Intelligent and Robotic Systems
Combining Feature Reduction and Case Selection in Building CBR Classifiers
IEEE Transactions on Knowledge and Data Engineering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Information Sciences: an International Journal
Fuzzy modelling through logic optimization
International Journal of Approximate Reasoning
Hybridization of intelligent techniques and ARIMA models for time series prediction
Fuzzy Sets and Systems
Time series forecasting with a non-linear model and the scatter search meta-heuristic
Information Sciences: an International Journal
Analysis-adjustment-synthesis networks
Connection Science
Pulse images recognition using fuzzy neural network
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
Linguistic modelling and information coarsening based on prototype theory and label semantics
International Journal of Approximate Reasoning
Expert Systems with Applications: An International Journal
TaSe, a Taylor series-based fuzzy system model that combines interpretability and accuracy
Fuzzy Sets and Systems
Time-series forecasting using flexible neural tree model
Information Sciences: an International Journal
Optimization of multiple model fuzzy systems using RCGKA and their application
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Automatic design of hierarchical RBF networks for system identification
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
A locally linear RBF network-based state-dependent AR model for nonlinear time series modeling
Information Sciences: an International Journal
A prototype-based rule inference system incorporating linear functions
Fuzzy Sets and Systems
Statistical analysis of parameter setting in real-coded evolutionary algorithms
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part II
Fuzzy wavelet neural network models for prediction and identification of dynamical systems
IEEE Transactions on Neural Networks
Fuzzy time series prediction using hierarchical clustering algorithms
Expert Systems with Applications: An International Journal
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part II
Time delay dynamic fuzzy networks for time series prediction
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
A global-local optimization approach to parameter estimation of RBF-type models
Information Sciences: an International Journal
AI'06 Proceedings of the 19th Australian joint conference on Artificial Intelligence: advances in Artificial Intelligence
Nonlinear time series modeling and prediction using local variable weights RBF network
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
International Journal of Intelligent Systems in Accounting and Finance Management
Linguistic fuzzy model identification based on PSO with different length of particles
Applied Soft Computing
Long-memory time series ensembles for concept shift detection
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A random set and rule-based regression model incorporating image labels
IUKM'13 Proceedings of the 2013 international conference on Integrated Uncertainty in Knowledge Modelling and Decision Making
Engineering Applications of Artificial Intelligence
A boosted SVM based ensemble classifier for sentiment analysis of online reviews
ACM SIGAPP Applied Computing Review
Generalized dynamical fuzzy model for identification and prediction
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
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This paper proposes a genetic fuzzy predictor ensemble (GFPE) for the accurate prediction of the future in the chaotic or nonstationary time series. Each fuzzy predictor in the GFPE is built from two design stages, where each stage is performed by different genetic algorithms (GA). The first stage generates a fuzzy rule base that covers as many of training examples as possible. The second stage builds fine-tuned membership functions that make the prediction error as small as possible. These two design stages are repeated independently upon the different partition combinations of input-output variables. The prediction error will be reduced further by invoking the GFPE that combines multiple fuzzy predictors by an equal prediction error weighting method. Applications to both the Mackey-Glass chaotic time series and the nonstationary foreign currency exchange rate prediction problem are presented. The prediction accuracy of the proposed method is compared with that of other fuzzy and neural network predictors in terms of the root mean squared error (RMSE)