A general approach to construct RBF net-based classifier
نویسندگان
چکیده
This paper describes a global approach to the construction of Radial Basis Function (RBF) neural net classifier. We used a new simple algorithm to completely define the structure of the RBF classifier. This algorithm has the major advantage to require only the training set (no step learning, threshold or other parameters as in other methods). Tests on several benchmark datasets showed, despite its simplicity, that this algorithm provides a robust and efficient classifier. The results of this built RBF classifier are compared to those obtained with three other classifiers : a classic one and two neural ones. The robustness and efficiency of this kind of RBF classifier make the proposed algorithm very attractive.
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