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In latest years, learning algorithm based Kernel function has been playing crucial role in the research area. Support Vector Machines are getting a large success due to their good performances in classification and regression. Regularization Networks and Support Vector Regression are kernel methods solving difficult learning tasks as estimating a nonlinear system from distributed data. In this work,...
The control and monitoring of drinking water is becoming more and more interesting because of its effects on human life. Many techniques were developed in this field in order to ameliorate this process control attending to rigorous follow-ups of the quality of this vital resource. Several methods were implemented to achieve this goal. In this paper, a comparative study of two techniques resulting...
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