Fuzzy Logic in Artificial Intelligence: IJCAI '93 Workshop by Hamid R. Berenji (auth.), Anca L. Ralescu (eds.) PDF

By Hamid R. Berenji (auth.), Anca L. Ralescu (eds.)

ISBN-10: 3540584099

ISBN-13: 9783540584094

This quantity constitutes the lawsuits of the second one Fuzzy common sense in AI Workshop, held along with IJCAI '93 in Chambéry, France in August 1993.
The publication includes complete revised types of the papers offered on the workshop and covers numerous elements of fuzzy common sense in contributions from popular researchers. This quantity displays the purpose of the workshop, specifically to function a platform for fruitful contacts among fuzzy engineering researchers attracted to AI and AI researchers attracted to fuzzy common sense purposes in engineering: in terms of designing clever structures they're faced with a similar difficulties and questions and wish for a similar winning results.

Show description

Read Online or Download Fuzzy Logic in Artificial Intelligence: IJCAI '93 Workshop Chamberry, France, August 28, 1993 Proceedings PDF

Best computational mathematicsematics books

Edward Sang's A new table of seven-place logarithms PDF

This can be a pre-1923 historic copy that used to be curated for caliber. caliber insurance was once performed on each one of those books in an try to get rid of books with imperfections brought via the digitization strategy. although we now have made top efforts - the books can have occasional mistakes that don't hamper the studying event.

Download e-book for iPad: Hybrid Systems: Computation and Control: Second by Philippe Baufreton (auth.), Frits W. Vaandrager, Jan H. van

This quantity includes the court cases of the second one overseas Workshop on Hybrid platforms: Computation and regulate (HSCC’99) to be held March 29- 31, 1999, within the village Berg en Dal close to Nijmegen, The Netherlands. The rst workshop of this sequence used to be held in April 1998 on the collage of California at Berkeley.

Download PDF by Bijan Mohammadi, Olivier Pironneau: Applied Shape Optimization for Fluids, Second Edition

Computational fluid dynamics (CFD) and optimum form layout (OSD) are of sensible value for lots of engineering functions - the aeronautic, car, and nuclear industries are all significant clients of those applied sciences. Giving the cutting-edge fit optimization for a longer variety of purposes, this new version explains the equations had to comprehend OSD difficulties for fluids (Euler and Navier Strokes, but additionally these for microfluids) and covers numerical simulation thoughts.

Extra info for Fuzzy Logic in Artificial Intelligence: IJCAI '93 Workshop Chamberry, France, August 28, 1993 Proceedings

Sample text

All rights reserved. 13: Solve the problem described by the following equations − d2 u = cos πx, 0 < x < 1; dx2 u(0) = 0, u(1) = 0 Use the uniform mesh of three linear elements to solve the problem and compare against the exact solution u(x) = 1 (cos πx + 2x − 1) π2 Solution: The main part of the problem is to compute the source vector for an element. We have fie = Z xb x cos πx ψie dx Z xa b µ ¶ xb − x = cos πx dx he xb ∙ µ ¶¸xb 1 xb 1 x sin πx − = cos πx + sin πx he π π2 π xa 1 1 = − sin πxa − (cos πxb − cos πxa ) π he π 2 µ ¶ Z xb x − xa cos πx dx f2e = he xa 1 1 (cos πxb − cos πxa ) + sin πxb = 2 he π π f1e The element equations are ∙ 3 −3 −3 3 ¸½ e ¾ u 1 ue2 = ½ e¾ f 1 f2e + ½ Qe1 Qe2 ¾ with the element source terms are given as follows.

E. condensed equations) for the unknown voltages and currents. 3 R = 30 Ω 2 R = 35 Ω 1 V1= 10 volts R = 7 R=5Ω Ω 4 R = 15 Ω R = 10 Ω 6 V6= 200 volts 5 R=5Ω Fig. 3 for the direct current electric network shown in Fig. 4. PROPRIETARY MATERIAL. c The McGraw-Hill Companies, Inc. ° All rights reserved. 52 AN INTRODUCTION TO THE FINITE ELEMENT METHOD R=5Ω 3 R = 20 Ω 6 R=0Ω 8 R = 10 Ω R=5Ω 2 R=5Ω 5 R = 15 Ω R = 10 Ω 1 R = 20 Ω 4 R = 50 Ω V1= 110 volts 7 V7 = 40 volts Fig. 4 Solution: The assembled coefficient matrix is ⎡ 1 5 + 1 20 ⎢ −1 ⎢ 5 ⎢ ⎢ 0 ⎢ 1 [K] = ⎢ ⎢ − 20 ⎢ 0 ⎢ ⎢ ⎣ 0 1 5 0 − 15 + 15 + 1 − 20 0 − 15 0 0 1 − 20 0 0 1 1 + 20 10 + 1 − 10 0 1 − 50 ⎤ 0 ⎥ 0 ⎥ ⎥ 0 ⎥ 1 − 50 ⎥ ⎥ ⎥ ⎥ 0 ⎥ 1 − 15 ⎦ 1 1 15 + 50 0 1 − 20 1 1 20 + 5 0 0 − 15 0 0 0 − 15 0 1 − 10 1 1 + 10 + 15 1 − 15 1 20 1 5 1 50 1 5 0 − 15 0 1 − 10 1 + 10 + 1 − 10 0 1 10 The condensed equations are ⎡ 9 20 ⎢− 1 ⎢ 20 ⎢ ⎢ 0 ⎢ 1 ⎣− 5 0 1 − 20 0 0 0 0 − 15 17 100 1 − 10 1 4 I1 = 0 − 15 0 1 − 10 2 5 1 − 10 1 5 0 − 15 0 1 − 10 1 + 10 + V1 − V2 V1 − V4 + , 5 20 PROPRIETARY MATERIAL.

E. condensed equations) for the unknown voltages and currents. 3 R = 30 Ω 2 R = 35 Ω 1 V1= 10 volts R = 7 R=5Ω Ω 4 R = 15 Ω R = 10 Ω 6 V6= 200 volts 5 R=5Ω Fig. 3 for the direct current electric network shown in Fig. 4. PROPRIETARY MATERIAL. c The McGraw-Hill Companies, Inc. ° All rights reserved. 52 AN INTRODUCTION TO THE FINITE ELEMENT METHOD R=5Ω 3 R = 20 Ω 6 R=0Ω 8 R = 10 Ω R=5Ω 2 R=5Ω 5 R = 15 Ω R = 10 Ω 1 R = 20 Ω 4 R = 50 Ω V1= 110 volts 7 V7 = 40 volts Fig. 4 Solution: The assembled coefficient matrix is ⎡ 1 5 + 1 20 ⎢ −1 ⎢ 5 ⎢ ⎢ 0 ⎢ 1 [K] = ⎢ ⎢ − 20 ⎢ 0 ⎢ ⎢ ⎣ 0 1 5 0 − 15 + 15 + 1 − 20 0 − 15 0 0 1 − 20 0 0 1 1 + 20 10 + 1 − 10 0 1 − 50 ⎤ 0 ⎥ 0 ⎥ ⎥ 0 ⎥ 1 − 50 ⎥ ⎥ ⎥ ⎥ 0 ⎥ 1 − 15 ⎦ 1 1 15 + 50 0 1 − 20 1 1 20 + 5 0 0 − 15 0 0 0 − 15 0 1 − 10 1 1 + 10 + 15 1 − 15 1 20 1 5 1 50 1 5 0 − 15 0 1 − 10 1 + 10 + 1 − 10 0 1 10 The condensed equations are ⎡ 9 20 ⎢− 1 ⎢ 20 ⎢ ⎢ 0 ⎢ 1 ⎣− 5 0 1 − 20 0 0 0 0 − 15 17 100 1 − 10 1 4 I1 = 0 − 15 0 1 − 10 2 5 1 − 10 1 5 0 − 15 0 1 − 10 1 + 10 + V1 − V2 V1 − V4 + , 5 20 PROPRIETARY MATERIAL.

Download PDF sample

Fuzzy Logic in Artificial Intelligence: IJCAI '93 Workshop Chamberry, France, August 28, 1993 Proceedings by Hamid R. Berenji (auth.), Anca L. Ralescu (eds.)


by Paul
4.1

Rated 4.92 of 5 – based on 6 votes