The nature of statistical learning theory
The nature of statistical learning theory
Fuzzy neural networks with application to sales forecasting
Fuzzy Sets and Systems
Fuzzy least squares support vector machines for multiclass problems
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
Neural Computation
Type-2 fuzzy logic-based classifier fusion for support vector machines
Applied Soft Computing
Classification model for product form design using fuzzy support vector machines
Computers and Industrial Engineering
Expert Systems with Applications: An International Journal
A Forecasting Model Based Support Vector Machine and Particle Swarm Optimization
PEITS '08 Proceedings of the 2008 Workshop on Power Electronics and Intelligent Transportation System
Expert Systems with Applications: An International Journal
A Fuzzy Support Vector Machine with Weighted Margin for Flight Delay Early Warning
FSKD '08 Proceedings of the 2008 Fifth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 03
Image Classification Based on Fuzzy Support Vector Machine
ISCID '08 Proceedings of the 2008 International Symposium on Computational Intelligence and Design - Volume 01
A Hybrid Forecasting Model Based on Chaotic Mapping and Improved v-Support Vector Machine
ICYCS '08 Proceedings of the 2008 The 9th International Conference for Young Computer Scientists
The forecasting model based on wavelet ν-support vector machine
Expert Systems with Applications: An International Journal
Evolutionary fuzzy neural networks for hybrid financial prediction
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Journal of Computational and Applied Mathematics
Car assembly line fault diagnosis based on robust wavelet SVC and PSO
Expert Systems with Applications: An International Journal
Fault diagnosis model based on Gaussian support vector classifier machine
Expert Systems with Applications: An International Journal
Car assembly line fault diagnosis based on modified support vector classifier machine
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Pavement performance prediction through fuzzy regression
Expert Systems with Applications: An International Journal
The forecasting model based on fuzzy novel ν-support vector machine
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
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This paper presents a new version of fuzzy support vector machine to forecast multi-dimension time series. Since there exist some problems of finite samples and uncertain data in many forecasting problem, the input variables are described as real numbers by fuzzy comprehensive evaluation. To represent the fuzzy degree of these input variables, the symmetric triangular fuzzy technique is adopted. Then by combining the fuzzy theory with @n-support vector machine, the fuzzy @n-support vector machine (F@n-SVM) on the triangular fuzzy space is proposed. To seek the optimal parameters of F@n-SVM, particle swarm optimization is also proposed to optimize parameters of F@n-SVM. The results of the application in sale forecasts confirm the feasibility and the validity of the F@n-SVM model. Compared with the traditional model, F@n-SVM method requires fewer samples and has better forecasting precision.