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Additional info for Optimization Techniques for Solving Complex Problems (Wiley Series on Parallel and Distributed Computing)
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3 EXPERIMENTAL ANALYSIS The lazy strategy described above, with either the Gaussian or the inverse kernel function, has been applied to different RBNN architectures to measure the generalization capability of the networks in terms of the mean absolute error over the test data. We have used three domains to compare the results obtained by both kernel functions when tackling different types of problems. Besides, we have applied both eager RBNN and classical lazy methods to compare our lazy RBNN techniques with the classical techniques.