Robot Learning 2010 Part 4 docx

... Mokhov, S. A. (2010) . Towards autonomic specification of Distributed MARF with ASSL: Self-healing, Proceedings of SERA 2010, Vol. 296 of SCI, Springer, pp. 1– 15. Robot Learning 44 2. Domain ... CISSE’09, Springer, pp. 43 7 44 1. ISBN: 978- 90 -48 1-9111-6, online at: http://arxiv.org/abs/0912.5502. Mokhov, S. A. & the MARF Research & Development Group (2003–2010a). La...

Ngày tải lên: 11/08/2014, 23:22

... Reinforcement Learning — Awareness, Quantisation, and Control 79 ξ Percentile Performance π(1,1) π(1,2) π(2,1) π(2,2) Entropy 4 − 0.663 0.57 0 .43 0.52 0 .48 0.992 3 − 0 .40 9 0.58 0 .42 0.55 0 .45 0.987 2 − 0.161 ... 0.59 0 .41 0.60 0 .40 0.9 74 1 0.106 0.61 0.39 0.78 0.22 0.863 2/3 0.202 0.67 0.33 1 0 0 .45 8 0 0 .42 1 1 0 1 0 0 − 2/3 0.651 1 0 1 0 0 − 1 0.762 1 0 1 0 0 − 2 1.103 1...

Ngày tải lên: 11/08/2014, 23:22

... pp. 2035 −2 040 . Berman, O. L., Boyko, V. S., Kezerashvili, R. Ya., Kolesnikov, A. A., and Lozovik, Yu .E. (2010) . Graphene-based photonic crystal. Physics Letters A, 3 74, pp. 47 84 47 86. Berman, ... 49 5 49 7. Meade, R. D., Rappe, A. M., Brommer K. D., Joannopoulos, J. D., and Alerhand, O. L. (1993). Accurate theoretical analysis of photonic band-gap materials. Phys. Rev. B 48 , pp....

Ngày tải lên: 21/06/2014, 23:20

... constant. This is particularly the 122 4 Notches % d D t 1 2 3 4 5 6 0 .4 0.5 0.6 0.7 0.8 0.9 1.0 d/D K t ̺/t 0.03 0. 04 0.05 0.06 0.07 0.08 0.09 0.10 0.12 0. 14 0.16 0.18 0.20 0.30 0 .40 0.50 0.60 0.70 0.80 0.90 1.00 1.25 1.50 1.75 2.00 3.00 4. 00 Fig. ... the stress intensity factor at which crack propagation starts. 144 5 Fracture mechanics 0.0 0.2 0 .4 0.6 0.8 1.0 1.2 0.0...

Ngày tải lên: 11/08/2014, 15:20

... 3 4 5 Fig. 7.20 This anti-stall device can be seen in the top left of the unit in Fig. 7.19: 1 Anti-stall screw; 2 Locknut; 3 Seal; 4 Leaf spring; 5 Governor arm A 1 5 6 2 6 3 4 ... moving stop 4. When the engine starts, the increasing transfer pressure, compressing the first-stage spring, pushes the piston to the left until it contacts 1 4 3 2 58 7 6 Fig. 7. 24 Exce...

Ngày tải lên: 11/08/2014, 20:21

... [mm] point actual measured error error ratio [%] a 645 .8 625.8 20.0 3.1 b 645 .8 618.1 27.7 4. 3 c 948 .2 944 .3 3.8 0 .4 d 948 .2 9 04. 4 43 .8 4. 6 e 797.9 737.6 60.3 7.6 f 393.3 373.1 20.2 5.1 ... 889.7 38.0 4. 5 b 851.7 863.1 11 .4 1.3 c 800 .4 846 .6 46 .3 5.8 d 800 .4 836.6 36.2 4. 5 e 770.8 801.2 30.3 3.9 f 770.8 800.3 29.5 3.8 g 722.6 761 .4 38.7 5 .4 h 722....

Ngày tải lên: 11/08/2014, 23:22

... publication@sciyo.com Robot Learning, Edited by Dr. Suraiya Jabin p. cm. ISBN 978-953-307-1 04- 6 Robot Learning using Learning Classifier Systems Approach 5 psychological theory of learning called ... www.sciyo.com Robot Learning edited by Dr. Suraiya Jabin SC I YO 1 Robot Learning using Learning Classifier Systems Approach Suraiya Jabin Jamia Millia Islamia, C...

Ngày tải lên: 11/08/2014, 23:22

... Reading, MA. Hall, E. L. (2001), Intelligent robot trends and predictions for the .net future, Proc. SPIE 45 72, pp. 70–80, 2001. doi:10.1117/12 .44 4228 Hall, E. L., Ghaffari M., Liao X., Ali ... intelligent robot that can successfully perform assigned tasks. Fig. 3. Conceptual framework of components for intelligent robot design. Robot Learning 10 interactive EC ap...

Ngày tải lên: 11/08/2014, 23:22

... 0.38 0.39 0 .4 1 0.27 0.18 0.11 ∀ i : α i = 44 .0 14. 053.000010 0 .45 0 .44 0.30 0. 14 2500 0 .44 0 .46 0 .48 0 .49 0.50 0.50 0 .48 Turbine Frequentist coarse 10 4 0.736 0.758 0.770 0.815 0.837 0. 848 0.855 medium ... 0.855 medium 10 4 0.751 0.769 0.7 84 0.816 0.83 3 0.830 0.815 fine 10 4 0.767 0.785 0.800 0.826 0.837 0. 840 0.839 Turbine Maximum Entropy coarse 10 4 0.720 0.767 0...

Ngày tải lên: 11/08/2014, 23:22

... (1996). Model-based learning for mobile robot navigation from the dynamical system perspective. IEEE Transactions on System, Man and Cybernetics, Vol. 26, No. 3, pp. 42 1 -43 6. Robot Learning 112 ... Robot Learning 102 Tani, J. (1999). Learning to perceive the world as articulated: an approach for hierarchical learning in sensory-motor systems. Neural Networks, Vol...

Ngày tải lên: 11/08/2014, 23:22