By Sundarapandian Vaidyanathan (auth.), David C. Wyld, Michal Wozniak, Nabendu Chaki, Natarajan Meghanathan, Dhinaharan Nagamalai (eds.)
This e-book constitutes the lawsuits of the 1st foreign convention on Advances in Computing and data expertise, ACITY 2011, held in Chennai, India, in July 2011. The fifty five revised complete papers awarded have been rigorously reviewed and chosen from a number of submissions. The papers function major contributions to all significant fields of the pc technology and data expertise in theoretical and functional aspects.
Read or Download Advances in Computing and Information Technology: First International Conference, ACITY 2011, Chennai, India, July 15-17, 2011. Proceedings PDF
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Additional info for Advances in Computing and Information Technology: First International Conference, ACITY 2011, Chennai, India, July 15-17, 2011. Proceedings
Combining Backpropagati on network with SVM gives better results for classification. • • Training consumes a lot of time. Requires target values. 38 D. Parekh and Rekha Vig Table 3. No Approach Characteristic Advantages 1. 2. 3. B. Kim, J. Bae, I. Yoo, 2000 • Y. Liu, S. Yuan, X. Zhu, Y. Wang, W. Zhang and Y. Wang, 2002 • • • • 4. 5. Tico, 2002 C. Klimanee and D. Nguyen • • • • • 6. Rakesh,20 06 • • • Disadvantages Poincare Index is used to detect core. Number and curvature of cores are used for classification.
Feature vector is given as input to Back Propagation network and Learning Vector Quantization for classification Least Mean square method is used to generate orientation map. Consistency is calculated to improve quality of orientation field. Feature vector is computed from the percentage of direction map blocks. It is given as input to Support Vector Machine for classification. Orientation map is calculated using gradient method. Features are generated from orientation field using Genetic Programming.
Internat. J. Bifurcat. Chaos. 14, 285–292 (2004) 9. : General approach for chaos synchronization with applications to communications. Phys. Rev. Lett. 74, 5028–5030 (1995) 10. : Secure communication using a compound signal using sampled-data feedback. Applied Math. Mech. 11, 1309–1315 (2003) 11. : Control of chaos using sampled-data feedback control. Internat. J. Bifurcat. Chaos. 9, 215–219 (1999) 12. : Controlling chaos. Phys. Rev. Lett. 64, 1196–1199 (1990) 13. : A novel criterion for delayed feedback control of time-delay chaotic systems.