Application of artificial neural network and genetic algorithm to forecasting of wind power output
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Using deep neural networks for kinematic analysis : challenges and opportunities
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The Impact of Regularization on Convolutional Neural Networks
Zeeshan, Khaula (2018)Syvä oppiminen (engl. deep learning) on viime aikoina tullut suosituimmaksi koneoppimisen menetelmäksi. Konvoluutio(hermo)verkko on yksi suosituimmista syvän oppimisen arkkitehtuureista monimutkaisiin ongelmiin kuten kuvien ... -
Evolutionary Algorithms and Metaheuristics : Applications in Engineering Design and Optimization
Greiner, David; Periaux, Jacques; Quagliarella, Domenico; Magalhaes-Mendes, Jorge; Galván, Blas (Hindawi Publishing Corporation, 2018) -
Taxonomy of generative adversarial networks for digital immunity of Industry 4.0 systems
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Using Aerial Platforms in Predicting Water Quality Parameters from Hyperspectral Imaging Data with Deep Neural Networks
Hakala, Taina; Pölönen, Ilkka; Honkavaara, Eija; Näsi, Roope; Hakala, Teemu; Lindfors, Antti (Springer, 2020)In near future it is assumable that automated unmanned aerial platforms are coming more common. There are visions that transportation of different goods would be done with large planes, which can handle over 1000 kg payloads. ...