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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
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Bibliography [Sch98] Alexander Schrijver. Theory of linear and integer pro- gramming. JohnWiley&Sons,1998. [SCV+10] T Santos, LC Costa, M Valente, J Monteiro, and J Sousa. 3D electromagnetic field simulation in mi- crowave ovens: A tool to control thermal runaway. InCOMSOLConference, 2010. [Si04] Jennie Si. Handbook of learning and approximate dy- namic programming, volume 2. John Wiley & Sons, 2004. [Sie01] Robert Siegel. Thermal radiation heat transfer, vol- ume1. CRCpress,2001. [Sil12] Shin-Etsu Silicone. Characteristic properties of sili- conerubbercompounds. 2012. [SK00] William D Smart and Leslie Pack Kaelbling. Practi- cal reinforcement learning in continuous spaces. In ICML,pages903–910.Citeseer,2000. [SM96] Kenneth O Stanley and Risto Miikkulainen. Effi- cient reinforcement learning through evolving neu- ral network topologies. Network (Phenotype), 1(2):3, 1996. [SM04] Kenneth O Stanley and Risto Miikkulainen. Com- petitivecoevolutionthroughevolutionarycomplex- ification. J.Artif. Intell.Res.(JAIR), 21:63–100,2004. [SMDH13] Ilya Sutskever, James Martens, George Dahl, and GeoffreyHinton.Ontheimportanceofinitialization and momentum in deep learning. In Proceedings of the 30th International Conference on Machine Learning (ICML-13),pages1139–1147,2013. [SMSM99] Richard S Sutton, David A McAllester, Satinder P Singh, and Yishay Mansour. Policy gradient meth- ods for reinforcement learning with function ap- proximation. In NIPS, volume 99, pages 1057–1063. Citeseer,1999. 213
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Titel
Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources
Autor
Yiming Sun
Verlag
KIT Scientific Publishing
Ort
Karlsruhe
Datum
2016
Sprache
englisch
Lizenz
CC BY-SA 3.0
ISBN
978-3-7315-0467-2
Abmessungen
14.8 x 21.0 cm
Seiten
260
Schlagwörter
Mikrowellenerwärmung, Mehrgrößenregelung, Modellprädiktive Regelung, Künstliches neuronales Netz, Bestärkendes Lernenmicrowave heating, multiple-input multiple-output (MIMO), model predictive control (MPC), neural network, reinforcement learning
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Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources