Marko Gronroos

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This paper presents an empirical comparison of four evolutionary encoding methods for nding suitable neural network topolo-gies. We use ve diierent learning problems for benchmarking the encoding methods. Three of the problems are artiicial (En-coder and two function approximation problems), and two are real-world classiication problems from the Proben1(More)
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