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

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Exploring the Basic Income Guarantee The number of neurons in this neural model can be automatically increased or decreased in order to get a one-to-one association between objects currently in the scene and neurons. This association is kept in each frame, what constitutes the foundations of this tracking system. Experiments show that

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Exploring the Basic Income Guaranteeng fluidized bed process. The aim was to obtain the optimal process parameters in respect to the flue gas nitrogen oxide (NO.) content in different predefined states of process. The data processing procedure in the research went as follows. First, the process data were processed by using a self-orga

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https://doi.org/10.1057/9781137535320ecture composed of independent growing self-organizing maps (SOMs). The SOMs have shown to be successful for the analysis of high-dimensional input data as in data mining applications such as network security. An intrusion detection system (IDS) monitors the IP packets flowing over the network to ca

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Exploring the Basic Income Guaranteees according to their topics. We therefore constructed self-organising maps that were effective for this task and tested them with German newspaper documents. We compared the results gained to those of . nearest neighbour searching and .-means clustering. For five and ten classes, the self-organisin

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Exploring the Basic Income Guarantee procedure for reproduction, instead of the classical crossover and mutation operators. We include some runs of the algorithm for dihedral groups, which are known to give rise to a large amount of cocyclic Hadamard matrices.

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Yannick Vanderborght,Toru Yamamoriis an efficient technique for developing truly adaptive, yet understandable, systems for highly complex applications. Process insight is maintained, while data-driven tuning relates the measurements to the operating areas. Genetic algorithms are well suited for LE models based on nonlinear scaling a

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Toru Yamamori,Yannick Vanderborght(POEMS) algorithm has been proposed. The key feature of the POEMS is that it takes some initial solution, which is then iteratively improved by means of what we call evolved hypermutations. In this work, the POEMS is seeded with a solution provided by the Clustal X algorithm. Major result of the pre

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