Titlebook: Adaptive and Natural Computing Algorithms; 9th International Co Mikko Kolehmainen,Pekka Toivanen,Bartlomiej Belicz Conference proceedings 2

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Basic Income and Sovereign Money intelligence solution. The well known PCA, ICA and rough sets can simplify and reduce input data space but they cannot transform real input data vectors into binary ones. Binary training vectors can simplify a training process of neural networks and let them to construct more compact topologies. Th

DOSE

Basic Income and Sovereign Moneyn-parametric and parametric imputation methods. Genetic algorithms and multilayer perceptrons have been applied to develop a framework for constructing the imputation strategies addressing multiple incomplete attributes. Furthermore we evaluate imputation methods in the context of not only the data

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An Alternative Radical Diagnosticning process. In this paper we present a possible heuristic method for finding a good coefficient for this regularization term while, at the same time, looking for a well-regularized MLP model. The simple heuristic is based on validation error, but not strictly in the sense of early stopping; instea

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Morsel

Basic Income and the Free Marketnetwork used in this work is based on a multivalued model, MREM, very suitable for solving combinatorial optimization problems. We describe the foundations of this neural model, and how it can be implemented in the context of this problem, by taking advantage of a better representation than in other

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