Modeling Approaches and Algorithms for Advanced Computer by Frédéric Boniol (auth.), Abdelmalek Amine, Ait Mohamed

By Frédéric Boniol (auth.), Abdelmalek Amine, Ait Mohamed Otmane, Ladjel Bellatreche (eds.)

"During the final many years Computational Intelligence has emerged and confirmed its contributions in a number of large study groups (computer technological know-how, engineering, finance, monetary, determination making, etc.). This used to be performed through providing ways and algorithms established both on turnkey strategies belonging to the big panoply of recommendations provided via computational intelligence reminiscent of facts mining, genetic algorithms, bio-inspired tools, Bayesian networks, computing device studying, fuzzy common sense, man made neural networks, and so on. or encouraged by means of computational intelligence strategies to increase new ad-hoc algorithms for the matter below consideration.

This quantity is a complete selection of prolonged contributions from the 4th foreign convention on desktop technology and Its purposes (CIIA’2013) geared up into 4 major tracks: tune 1: Computational Intelligence, song 2: safeguard & community applied sciences, tune three: details expertise and music four: desktops and purposes. This e-book provides contemporary advances within the use and exploitation of computational intelligence in numerous genuine international difficult difficulties masking those tracks equivalent to photo processing, Arab textual content processing, sensor and cellular networks, actual layout of complicated databases, version matching, and so forth. that require complex techniques and algorithms borrowed from computational intelligence for fixing them.

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Journal of Marine Science and Application 5(3), 57–62 (2006) 8. : Fault Diagnosing System of Steam Generator for Nuclear Power Plant Based on Fuzzy Neural Networks. Journal of Marine Science and Application 1(1), 41–46 (2002) 9. : Self-Organizing Maps. Springer, Berlin (2001) 10. : Fault Diagnosis on Induction Motors Using Self-Organizing Maps. In: 9th IEEE/IAS International Conference on Industry Applications, INDUSCON 2010 (2010) 11. : Clustering of the Self-Organizing Map based Approach in Induction Machine Rotor Faults Diagnostics.

Seghir, and S. Touati The calculated features will serves as input of the Kohonen neural network (SOM). The algorithm of detecting the stator short circuit using the SOM neural network is depicted by the flowchart in Fig. 2. Three phase currents Statistical Features Feature Extraction Park 0 0 ZCT Classification SOM Envelope Fig. 2. 1 Park’s Vector Magnitude This technique is based on the Park’s Vector Approach; it provides greater insight into the severity of the faults. The instantaneous line currents of the stator are transformed into the Park’s vector using (5-6) [13].

In: 2011 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), pp. 6027338 9. : Background modeling using corner features: An effective approach. In: IEEE 13th International Multitopic Conference, INMIC 2009, pp. 5383113 10. : The Algorithm of Moving Human Body Detection Based on Region Background Modeling. In: International Symposium on Computer Network and Multimedia Technology, CNMT 2009, pp. 5374792 11. : Real-Time Robust Background Modeling Based on Joint Color and Texture Descriptions.

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