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Extra resources for Algorithm for approximating complex polynomial zeros (1998)

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The RBF neural network is able to model complex mappings, which Perceptron Neural Networks can only accomplish by means of multiple hidden layers. The outstanding characteristics of such network makes it applicable for variety of applications, such as, function interpolation [32,33], chaotic time serious modeling [34,35], system identification [36–38], control systems [39,40], channel equalization [41–43], speech recognition [44,45], image restoration [46,47], motion estimation [48], pattern classification [49], and data fusion [50].

104] X. Wei and F. Kangling. A hybrid genetic algorithm for global solution of nondifferentiable nonlinear function. Control Theory & Applications, 17: 180–183, 2000. [105] C. Cotta and P. Moscato. Inferring phylogenetic trees using evolutionary algorithms. J. Merelo, P. -G. -L. -P. , Parallel Problem Solving from Nature VII, Vol. 2439 of Lecture Notes in Computer Science. Springer-Verlag, Berlin, 2002, pp. 720–729. B. W. Corne. Evolutionary Computation in Bioinformatics. Morgan Kaufmann, San Francisco, CA, 2003.

5, May 30–June 2, 1999, pp. 567–570. 3 Biological Background . . . . . . . . . . . . . . . . . 3-41 An ACO Algorithm for the TSP . . . . . . . . . . . . . 3-43 Design Decisions . . . . . . . . . . . . . . . . . . . . . 4 Population Based Ant Colony Optimization. . . . . . 5 Applications . . . . . . . . . . . . . . . . . . . . . . . 3-50 References . . . . . . . . . . . . . . . . . . . . . . . . .

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