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Titlebook: Bio-Inspired Applications of Connectionism; 6th International Wo José Mira,Alberto Prieto Conference proceedings 2001 Springer-Verlag Berli

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Kerstin Schenkel,Torsten Wißmannoding a neural network for the purpose of genetic optimization. However, this representation presents several disadvantages mostly stemming from its inherent redundancy and its lack of rebustness. We propose a novel representation scheme for encoding complete strictly-layered feedforward neural netw
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Gesundheit in städtischen Quartieren messen?y to accelerate the convergence towards a solution for the given optimization problem. The graph colouring problem has been chosen as a benchmark for which convergence with quadratic time complexity has been obtained.
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https://doi.org/10.1007/978-3-658-38941-3 underfitted models. In this paper we propose a new penalty term derived from the behaviour of candidate models under noisy conditions that seems to be much more robust against catastrophic overfitting errors that standard techniques. This strategy is applied to several regression problems using pol
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https://doi.org/10.1007/978-3-658-38941-3s work. The FHCE represents the frequency of occurrence of a random event, which not only describes the texture’s gray-level distribution, but also the existing spatial dependence within the texture. The exploitation of the FHCE’s shape, alongside its wavelet transform, allows the computation of exc
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A 2-by-n Hybrid Cellular Automaton Implementation Using a Bio-inspired FPGAw kind of coarse-grained field-programmable gate array (FPGA) developed in the framework of the Embryonics project. This cell will be used for the implementation of multicellular artificial organisms with biological-like properties, i.e., capable of self-repair and self-replication.
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