By Ren Xiaoping, Cai Zixing, Li Zhao, Wang Wuyi (auth.), Gary Lee (eds.)
2012 foreign convention on surroundings technology and 2012 overseas convention on desktop technological know-how (ICES 2012/ICCS 2012) may be held in Australia, Melbourne, 15‐16 March, 2012.Volume 2 comprises a few themes in clever approach. There are fifty one papers have been chosen because the commonplace paper during this quantity. It comprises the most recent advancements and displays the event of many researchers operating in several environments (universities, examine facilities or maybe industries), publishing new theories and fixing new technological problems.
The objective of quantity 2 is interconnection of various medical fields, the cultivation of each attainable clinical collaboration, the trade of perspectives and the merchandising of latest examine pursuits in addition to the extra dissemination, the diffusion of clever approach, together with yet no longer constrained to clever process, Neural networks, desktop studying, Multimedia procedure and purposes, Speech Processing, snapshot & video sign Processing and Computer‐Aided community layout the dispersion.
We are yes that the efforts of the authors in addition to the reviewers to supply excessive point contributions can be liked through the suitable clinical neighborhood. we're confident that offered quantity should be a resource of information and notion for all educational participants, researchers and practitioners operating in a box of the subject lined by means of the book.
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Additional info for Advances in Intelligent Systems: Selected papers from 2012 International Conference on Control Systems (ICCS 2012), March 1-2, Hong Kong
46 G. Ji Let c1 = c10 + c11 , with c10 and c11 > 0 . Then, (7) become V1 = z1 z2 − c10 z12 − c11 z12 + z1e1 − σ 11W11T Wˆ11 −σ 12W12T Wˆ12 − p1ϕ12 ( x1 ) z12 + φ1 ( x1 )d1 z1 (9) By completion of squares, we have ( −σ 11W11T Wˆ11 = −σ 11W11T W11 + W11* ≤− σ 11 W11 2 2 + ≤− + 2 (10) 2 ( σ 12 W12 2 σ 11 W11* −σ 12W12T Wˆ12 = −σ 12W12T W12 + W12* 2 ) ) σ 12 W12* 2 (11) 2 ε *2 e2 −c11 z12 + z1e1 ≤ −c11 z12 + z1 e1 ≤ 1 ≤ 1 4c11 4c11 (12) − p1ϕ12 ( x1 ) z12 + φ1 ( x1 )d1 z1 ≤ − p1φ12 ( x1 ) z12 + φ1 ( x1 )d1 z1 d12 d *2 ≤ 1 4 p1 4 p1 Substituting (10) (11) (12) (13) into (9), we have the following inequality: ≤ V1 ≤ z1 z2 − c10 z12 − σ 11 W11 + 2 2 − * 2 11 σ 11 W 2 σ 12 W12 + (13) 2 2 σ 12 W12* 2 2 + ε1*2 4c11 + d1*2 4 p1 (14) where the coupling term z1 z2 will be canceled in the next step.
International Journal of Bifurcation and Chaos 12, 1097–1109 (2002) 4. : Robust and adaptive backstepping control for nonlinear systems using RBF neural networks. IEEE Transactions on Neural Networks 15, 693–701 (2004) 5. : Adaptive variable structure control of MIMO nonlinear systems with time-varying delays and unknown dead-zones. International Journal Automation and Computing 6, 124–136 (2009) 6. : Adaptive output feedback control for nonlinear time-delay systems using neural network. Journal of Control Theory and Applications 4, 313–320 (2006) 7.
Train BP, OAA, and decision tree of SVM-based model with training sets until all the data were classified correctly. 40 X. Shao The rest of the data (each class included 1000 samples) were used to set up the testing sample sets. Test BP, OAA and decision tree of SVM based model respectively, and the recognition results are showed in Table 1. Table 1. S. MIS. here means misclassification; Rate is recognition rate. 4%. The recognition rate of OAA is higher comparison with that of BP-based model, because it avoids some disadvantages, such as over-training and weak normalization capability, which BP has.