Read e-book online Advances in Artificial Intelligence: 12th Biennial PDF

By Andreas Junghanns, Jonathan Schaeffer (auth.), Robert E. Mercer, Eric Neufeld (eds.)

ISBN-10: 3540645756

ISBN-13: 9783540645757

This e-book constitutes the refereed complaints of the twelfth Biennial convention of the Canadian Society for Computational reviews of Intelligence, AI'98, held in Vancouver, BC, Canada in June 1998.
The 28 revised complete papers provided including 10 prolonged abstracts have been conscientiously reviewed and chosen from a complete of greater than two times as many submissions. The publication is split in topical sections on making plans, constraints, seek and databases; functions; genetic algorithms; studying and typical language; reasoning; uncertainty; and learning.

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Read Online or Download Advances in Artificial Intelligence: 12th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI'98 Vancouver, BC, Canada, June 18–20, 1998 Proceedings PDF

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Additional resources for Advances in Artificial Intelligence: 12th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI'98 Vancouver, BC, Canada, June 18–20, 1998 Proceedings

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4a) c The McGraw-Hill Companies, Inc. ° All rights reserved. 2: Develop the weighted-residual finite element model (not weakform finite element model) of the following pair of equations: − d2 w0 M = 0, − 2 dx EI − d2 M =q dx2 (1) Assume the following approximations of the form w0 (x) ≈ 4 X (1) ∆i ϕi (x), i=1 M (x) ≈ 4 X (2) Λi ϕi (x), (2) i=1 The finite element equations should be in the form 0= 0= m X j=1 m X j=1 PROPRIETARY MATERIAL. 11 e Kij ∆j + 21 e Kij ∆j + n X j=1 n X j=1 12 e Kij Λj − Fi1 (3a) 22 e Kij Λj − Fi2 (3b) c The McGraw-Hill Companies, Inc.

025. The boundary conditions are ³ ´ ³ L R , Q12 + Q21 = 0, Q22 + Q31 = 0, Q32 = −βR U4 − T∞ Q11 = −βL U1 − T∞ ´ L = 100, β = 15 and T R = 35. Thus we have where βL = 10, T∞ R ∞ ⎡ ⎢ ⎢ ⎢ ⎢ ⎣ k1 h1 + βL − hk11 0 0 − hk11 k1 k2 h1 + h2 − hk22 0 0 − hk22 k2 k3 h2 + h3 − hk33 ⎤ ⎧ ⎫ ⎧ 0 L ⎫ 100 ⎪ βL T∞ ⎪ ⎪ ⎪ ⎪ ⎪ ⎪ ⎥⎪ ⎥ ⎨ U2 ⎬ ⎨ 0 ⎬ 0 ⎥ = 0 ⎪ U ⎪ ⎪ − hk33 ⎥ ⎪ ⎪ ⎦⎪ ⎩ 3 ⎪ ⎭ ⎪ ⎩ R⎭ k3 U T∞ β 4 R + β R h3 The unknown nodal temperatures can be determined from the above equations. 612◦ C. PROPRIETARY MATERIAL.

The solution of these equations is P1 = 39 12 15 Qa , P2 = Qa , P3 = Qa 14 7 14 PROPRIETARY MATERIAL. c The McGraw-Hill Companies, Inc. ° All rights reserved. 6: Consider the hydraulic pipe network (the flow is assumed to be laminar) shown in Fig. 6. 5 cm 3 4 • L = 55 m D = 5 cm 4 L = 60 m D = 8 cm 5 • • L = 70 m D = 5 cm 5 6• 6 Fig. 6 Solution: The assembled equations are ⎡ 1 R1 ⎢− 1 ⎢ R1 ⎢ ⎢ 0 ⎢ ⎢ 0 ⎢ ⎢ ⎣ 0 0 1 R1 − R11 + R12 + − R12 − R13 0 0 1 R3 0 − R12 1 1 R2 + R4 0 − R14 0 0 − R13 0 1 1 R3 + R5 − R15 0 = PROPRIETARY MATERIAL.

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Advances in Artificial Intelligence: 12th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI'98 Vancouver, BC, Canada, June 18–20, 1998 Proceedings by Andreas Junghanns, Jonathan Schaeffer (auth.), Robert E. Mercer, Eric Neufeld (eds.)


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