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Titlebook: Neural Information Processing; 19th International C Tingwen Huang,Zhigang Zeng,Chi Sing Leung Conference proceedings 2012 Springer-Verlag B

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Self-Organising Maps for Classification with Metropolis-Hastings Algorithm for Supervisionvised way. This way of data analysis has been proved as an efficient tool in many applications. SOM presented by T.Kohonen originally were unsupervised learning algorithm, however it is often used in classification problems. This paper introduces novel method for supervised learning of the SOM. It i
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Satoshi Hara,Takashi Washiommte Hardware- oder Softwarewerkzeuge stehen. Trotzdem wird die Benutzung von Softwarewerkzeugen fundiert behandelt, da eine prozeßorientierte Software-Entwickl978-3-642-95520-4978-3-642-95519-8Series ISSN 1431-7877
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Piotr Płoński,Krzysztof Zarembafusion with the computational intelligence (Cl) field, which is comprised of primarily the mature technologies of fuzzy logic, neural networks, genetic algorith978-1-4613-5072-9978-1-4615-0429-0Series ISSN 0893-3405
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Do-Thanh Sang,Dong-Min Woo,Dong-Chul Parkjor architectural changes and significant degradation of system performance, our solution requires the addition of just over 1,000 lines of code (.5.56%), and incurs performance overhead only from the authentication protocols themselves, rather than from the framework.
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Souhir Bouaziz,Habib Dhahri,Adel M. Alimi statistical and data mining techniques such as linear regression, decision tree and artificial neural network. A comparison of these models shows that data mining models may perform slightly better than the traditional approaches from transportation systems when historical information are available
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Wentao Fan,Nizar Bouguilacare cloud environment. Therefore, in conjunction with the development of leading smart healthcare systems connected to the IT environment and various smart systems, apparel health management systems emerge by providing patient-oriented services. This study proposes a UML diagram that includes syste
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