Download Artificial Intelligence and Computational Intelligence: by Chuanbo Wen, Yun Liang (auth.), Fu Lee Wang, Hepu Deng, Yang PDF
By Chuanbo Wen, Yun Liang (auth.), Fu Lee Wang, Hepu Deng, Yang Gao, Jingsheng Lei (eds.)
The 2010 overseas convention on synthetic Intelligence and Computational Intelligence (AICI 2010) used to be held October 23–24, 2010 in Sanya, China. The AICI 2010 obtained 1,216 submissions from 20 nations and areas. After rigorous experiences, one zero five fine quality papers have been chosen for e-book within the AICI 2010 lawsuits. The reputation price used to be 8%. the purpose of AICI 2010 used to be to assemble researchers operating in lots of assorted parts of man-made intelligence and computational intelligence to foster the alternate of recent principles and advertise overseas collaborations. as well as the big variety of submitted papers and invited periods, there have been a number of across the world recognized keynote audio system. On behalf of the Organizing Committee, we thank Hainan Province Institute of desktop and Qiongzhou college for its sponsorship and logistics help. We additionally thank the participants of the Organizing Committee and this system Committee for his or her exertions. we're very thankful to the keynote audio system, invited consultation organizers, consultation chairs, reviewers, and scholar helpers. final yet now not least, we thank the entire authors and members for his or her nice contributions that made this convention possible.
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Extra info for Artificial Intelligence and Computational Intelligence: International Conference, AICI 2010, Sanya, China, October 23-24, 2010, Proceedings, Part II
Wang et al. 35 1 2 3 4 5 6 7 8 Element NO. 9 10 11 12 13 Fig. 6. 35 1 2 3 4 5 6 7 8 Element NO. 9 10 11 12 13 Fig. 7. Average identification results for case 3 using GA Presented in Fig. 5 to Fig. 7 are the average identification results using GA for three damage cases. On the x axis are plotted element numbers and on the y axis is plotted damaged index. The square mark represents the actual damage scenario and the solid circle represents the identification results: the closer the circle is to the square mark, the better the prediction is.
Take a motor product sample for example the efficiency distribution of the improved model is much closer to the experimental results than that of the traditional model. The mean value and the variance value of percentage error for the improved model are much smaller, and the error analysis proves that the improved model is much more suitable for the modeling in complex operating conditions. ， Keywords: parameter optimization algorithms; non-linear improvement; complex operating conditions; hydraulic pump and motor; efficiency distribution.
4) Non-linear Improvement on Hydraulic Pump and Motor Models 19 Where Po is working pressure, Q v is Internal leakage flow, C v 2 is quadratic internal leakage coefficient, with the unit of m3 . s. Pa 2 The initial static friction torque is added to overcome the initial starting static friction of the bump and motor. The equation can be written as Ti = T3 + T f + T f Where 0 . (5) Ti is torque of mechanical revolution axis, T3 is effectively transformed T torque, f 0 is initial static friction torque, their expressions in the model refer to Fig.