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Evolved RBF Networks for Time-Series Forecasting and Function Approximation.

, , and . PPSN, volume 2439 of Lecture Notes in Computer Science, page 505-516. Springer, (2002)

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Evolving Multilayer Perceptrons., , , , , and . Neural Processing Letters, 12 (2): 115-128 (2000)G-Prop-III: Global Optimization of Multilayer Perceptrons using an Evolutionary Algorithm., , , , , and . GECCO, page 942. Morgan Kaufmann, (1999)Time series forecasting using evolutionary neural nets implemented in a volunteer computing system., , , , and . Intell. Syst. Account. Finance Manag., 24 (2-3): 87-95 (2017)Evolutionary Computation Visualization: Application to G-PROP., , , , , , , and . PPSN, volume 1917 of Lecture Notes in Computer Science, page 902-912. Springer, (2000)G-Prop: Global optimization of multilayer perceptrons using GAs., , , , and . Neurocomputing, 35 (1-4): 149-163 (2000)An Object-Oriented Library in JavaScript to Build Modular and Flexible Cross-Platform Evolutionary Algorithms., , , , and . EvoApplications, volume 8602 of Lecture Notes in Computer Science, page 853-862. Springer, (2014)Enhanced Radial Basis Function Neural Network Design Using Parallel Evolutionary Algorithms., , and . EANN, volume 43 of Communications in Computer and Information Science, page 269-280. (2009)Evolved RBF Networks for Time-Series Forecasting and Function Approximation., , and . PPSN, volume 2439 of Lecture Notes in Computer Science, page 505-516. Springer, (2002)Multiobjective Optimization of Ensembles of Multilayer Perceptrons for Pattern Classification., , , , and . PPSN, volume 4193 of Lecture Notes in Computer Science, page 453-462. Springer, (2006)Assessing different architectures for evolutionary algorithms in javascript., , , , and . GECCO (Companion), page 119-120. ACM, (2014)