'Neighborhood function' diaporamas de présentation

Developing computational methodologies

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PEMBUATAN APLIKASI PENGENALAN PLAT NOMOR KENDARAAN DENGAN METODE JARINGAN SYARAF TIRUAN

PEMBUATAN APLIKASI PENGENALAN PLAT NOMOR KENDARAAN DENGAN METODE JARINGAN SYARAF TIRUAN Hendra (26406129). Background. In the present day license plate has an important role in a parking security systems. The use of computers and cameras as a security system is increasing.

582 views • 38 slides

Chapter 5 Data Mining: Clustering

Chapter 5 Data Mining: Clustering. L. Malak Bagais [ textbook]: Chapter 5. What is Clustering?. The process of organizing objects into groups whose members are similar in some way Statistics, machine learning, and database researchers have studied data clustering

947 views • 35 slides

Self-organizing map (SOM)

Self-organizing map (SOM). Presented by Sasinee Pruekprasert 48052112 Thatchaphol Saranurak 49050511 Tarat Diloksawatdikul 49051006 Department of Computer Engineering, Faculty of Engineering, Kasetsart University. Title. What SOM? Unsupervised learning Competitive learning Algorithm

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Computational Intelligence: Methods and Applications

Computational Intelligence: Methods and Applications. Lecture 9 Self-Organized Mappings W?odzis?aw Duch Dept. of Informatics, UMK Google: W Duch. Brain maps. Tactile, motor, and olfactory data are most basic.

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Self Organized Maps (SOM)

Self Organized Maps (SOM). CUNY Graduate Center December 15 Erdal Kose. Outlines. Define SOMs Application Areas Structure Of SOMs (Basic Algorithm) Learning Algorithm Simulation and Results Conclusion References. SOMs.

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Chris Andrews

Trajectory Pattern Mining. Fosca Giannotti. Dino Pedreschi. Mirco Nanni. Fabio Pinelli. Chris Andrews. Georgia Institute of Technology B.S. Computer Science 5 th Year Undergraduate. Concepts. Analyze trajectory of moving objects A 3mins B 5mins C 10mins D

252 views • 17 slides