Titlebook: Artificial Intelligence and Soft Computing – ICAISC 2006; 8th International Co Leszek Rutkowski,Ryszard Tadeusiewicz,Jacek M. ?ur Conferenc

exorbitant

Richard Baskerville,Jan Pries-Hejes based on the parametric curve modelling. The idea of it is to surround the parametric curve model with the hypertube covering most of the data points used in a neural model training. The practical application of the method will be shown via a system of an unemployment rate in Poland in years 1992-1999.

行業(yè)

令人不快

Peter Fonagy PhD,Mary Target PhDIn the paper the ability of neural networks in creativity is tested. The creation of new words was chosen as an example task of creativity. Three different approaches based on the neural networks were designed and implemented to perform experiments. From all concerned solutions the best results was produced by the recurrent neural network.

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Creativity of Neural NetworksIn the paper the ability of neural networks in creativity is tested. The creation of new words was chosen as an example task of creativity. Three different approaches based on the neural networks were designed and implemented to perform experiments. From all concerned solutions the best results was produced by the recurrent neural network.

crucial

Facilitating Groups to Drive Changea set contains such feature vectors which represent objects assigned to one of a few categories.The term multichannel data sets means that each single object is characterised by data obtained through different information channels and represented by feature vectors in a different feature space. Feat

MOTTO

Apoptosis

https://doi.org/10.1007/978-94-007-6137-7s easy realization of MLP with arbitrary structure and calculation accuracy. The solution is based on utilization of the structural parallelism of the FPGA device and economical realization of individual neurons. A flexible and effective method has been applied for approximation of the nonlinear act

Formidable

Advances in Business Education and Trainingbeen separately studied or considered as a same problem about these two issues. However, it is obvious that these approaches are not always possible because the evaluation of the performance in classification problems is mostly based on the data distribution and learning methods; therefore this pape

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Ordeal