Titlebook: Artificial Intelligence Applications and Innovations; 8th IFIP WG 12.5 Int Lazaros Iliadis,Ilias Maglogiannis,Harris Papadopo Conference pr

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n to be able to enhance the performance accuracy when compared to the conventional HMLP network. The Multi-Classify HMLP network architecture is trained using a Modified Recursive Prediction Error (MRPE). This study uses three benchmark datasets in order to measure the capability of the network. The

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Applications to Urban Planning: An Overview wet clutch system. Usually these signals are designed empirically. In this paper, firstly, genetic algorithm (GA) will be used to optimize parameters. Then by knowing the system response of the test bench in the frequency domain, GA will be used again to fine tuning this parameterized signal. The r

AGONY

Sang-Yun Han,Tschangho John KimNNs). Its extension is called representational MDL (RMDL) principle and takes into account that models in machine learning are always constructed within some representation. In this paper, the optimization of ANNs formalisms as information representations using the RMDL principle is considered. A no

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