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Record Nr. |
UNINA9910437960503321 |
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Titolo |
Engineering Applications of Neural Networks : 14th International Conference, EANN 2013, Halkidiki, Greece, September 2013, Proceedings, Part II / / edited by Lazaros S. Iliadis, Harris Papadopoulos, Chrisina Jayne |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (XXIV, 326 p. 93 illus.) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 384 |
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Disciplina |
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Soggetti |
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Data mining |
Pattern recognition systems |
Information technology - Management |
Computer science |
Artificial intelligence |
Computer networks |
Data Mining and Knowledge Discovery |
Automated Pattern Recognition |
Computer Application in Administrative Data Processing |
Theory of Computation |
Artificial Intelligence |
Computer Communication Networks |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di contenuto |
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Pattern recognition-predictors -- Soft computing applications -- Medical applications of AI -- Fuzzy inference -- Evolutionary algorithms -- Classification, learning and data mining -- Control techniques-aspects of AI evolution -- Image and video analysis -- Classification, pattern recognition, social media and community based governance -- Medical applications of AI-bioinformatics and learning. |
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Sommario/riassunto |
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The two volumes set, CCIS 383 and 384, constitutes the refereed |
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proceedings of the 14th International Conference on Engineering Applications of Neural Networks, EANN 2013, held on Halkidiki, Greece, in September 2013. The 91 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers describe the applications of artificial neural networks and other soft computing approaches to various fields such as pattern recognition-predictors, soft computing applications, medical applications of AI, fuzzy inference, evolutionary algorithms, classification, learning and data mining, control techniques-aspects of AI evolution, image and video analysis, classification, pattern recognition, social media and community based governance, medical applications of AI-bioinformatics and learning. |
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