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[null,"1.","Record Nr.",null,"UNINA9910458047803321"]
[null,null,"Titolo",null,"Green movement in business [[electronic resource] /] / Karin E. Sanchez, editor"]
[null,null,"Pubbl/distr/stampa",null,"New York, : Nova Science Publishers, 2009"]
[null,null,"ISBN",null,"1-61324-967-5"]
[null,null,"Descrizione fisica",null,"1 online resource (172 p.)"]
[null,null,"Collana",null,"Novinka"]
[null,null,"Disciplina",null,"658.4/083"]
[null,null,"Soggetti",null,"Industrial management - Environmental aspects - United States"]
[{"$nulls":4},"Business enterprises - Environmental aspects - United States"]
[{"$nulls":4},"Green movement - United States"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,"2.","Record Nr.",null,"UNINA9910346774803321"]
[null,null,"Autore",null,"Sun Yiming"]
[null,null,"Titolo",null,"Adaptive and Intelligent Temperature Control of Microwave Heating Systems with Multiple Sources"]
[null,null,"Pubbl/distr/stampa",null,"KIT Scientific Publishing, 2016"]
[null,null,"ISBN",null,"1000051503"]
[null,null,"Descrizione fisica",null,"1 online resource (XIII, 231 p. p.)"]
[null,null,"Collana",null,"Karlsruher Forschungsberichte aus dem Institut für Hochleistungsimpuls- und Mikrowellentechnik"]
[null,null,"Soggetti",null,"Technology: general issues"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","In this work, an innovative real-time microwave control approach is proposed, to improve the temperature homogeneity under microwave heating. Multiple adaptive or intelligent control structures have been developed, including the model predictive control, neural network control and reinforcement learning control methods. Experimental results prove that these advanced control methods can effectively reduce the final temperature derivations and improve the temperature homogeneity."]