By Ren Xiaoping, Cai Zixing, Li Zhao, Wang Wuyi (auth.), Gary Lee (eds.)
2012 overseas convention on setting technological know-how and 2012 overseas convention on laptop technology (ICES 2012/ICCS 2012) might be held in Australia, Melbourne, 15‐16 March, 2012.Volume 2 includes a few themes in clever method. There are fifty one papers have been chosen because the typical paper during this quantity. It includes the newest advancements and displays the event of many researchers operating in several environments (universities, learn facilities or perhaps industries), publishing new theories and fixing new technological problems.
The objective of quantity 2 is interconnection of numerous medical fields, the cultivation of each attainable clinical collaboration, the alternate of perspectives and the advertising of recent learn ambitions in addition to the additional dissemination, the diffusion of clever method, together with yet now not restricted to clever process, Neural networks, desktop studying, Multimedia process and functions, Speech Processing, photograph & video sign Processing and Computer‐Aided community layout the dispersion.
We are definite that the efforts of the authors in addition to the reviewers to supply excessive point contributions should be favored via the suitable clinical group. we're confident that offered quantity can be a resource of information and idea for all educational participants, researchers and practitioners operating in a box of the subject coated via the book.
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Additional resources for Advances in Intelligent Systems: Selected papers from 2012 International Conference on Control Systems (ICCS 2012), March 1-2, Hong Kong
Com © Springer-Verlag Berlin Heidelberg 2012 44 G. Ji networks are used to approximate the completely unknown time delay functions. The uncertain disturbances are solved by nonlinear damping technique. Simulation study is conducted to verify the effectiveness of the approach. 2 Problem Formulation Consider a class of single-input-single-output (SISO) nonlinear time-delay systems xi (t ) = xi +1 (t ) + f i ( xi (t ) ) + hi ( xi (t − τ ) ) ＋φ ( x (t ) ) d i i i (1 ≤ i ≤ n − 1) xn (t ) = u (t ) + f n ( xn (t ) ) + hn ( xn (t − τ ) ) y = x1 ＋φ ( x (t ) ) d n n (1) n where xi = [ x1 , x2 ," , xi ] ∈ R i , i = 1, 2" , n , u ∈ R , y ∈ R are state variables, T system input and output, respectively.
1. (continued) (2) Cycle pattern (class B) is shown in Figure 1(b). It is characterized by short trends in the data, which occurs in repeated patterns, described as follows: d (t ) = a × sin (2πt Ω ) , (3) where a and Ω represent amplitude and cycle value of the cycle pattern, respectively. (3) Trend patterns include up-trend (class C) and downtrend (class D), as shown in Figure 1(c) and (d), respectively. 26σ ] . (4) Shift patterns include up-shift (class E) and downshift (class F), as shown in Figure 1(e) and (f), respectively.
In the process of simulation experiment through MATLAB software, we could find that the parameter C of SVM and the parameter δ of RBF kernel function had a great impact on the simulation outcomes. When the experiment was been doing, the regular factor C , and RBF parameter δ were determined by 5-fold cross validation (CV) method. Take out 200 data from every basic class randomly and make up the training sample sets for the five SVMs. Train BP, OAA, and decision tree of SVM-based model with training sets until all the data were classified correctly.
Advances in Intelligent Systems: Selected papers from 2012 International Conference on Control Systems (ICCS 2012), March 1-2, Hong Kong by Ren Xiaoping, Cai Zixing, Li Zhao, Wang Wuyi (auth.), Gary Lee (eds.)