The RBF-PLS Approach Based on Genetic Algorithm and Its Application in Radar Model Recognition

Radial Basis Function-Partial Least Square regression ( RBF-PLS) approach is a rapid and efficient method in constructing Radial Basis Function Network (RBFN), and it has put forward a solution to the problem about the choice of the number and the centers of the radial basis functions. But it is difficult to optimize the spread parameter of the radial basis functions and the number of PLS components extracted. A hybrid coding genetic algorithm, which uses different coding methods for different type of variables is proposed to get the optimal solution for the spread parameter and the number of PLS components. The object function of GA is the performance of fitting and predicting of the model. The approach is successfully applied to radar model recognition.