Application of Neural Networks for Detection of Changes in Nonlinear Systems-Reference-Cited by-同舟云学术

Application of Neural Networks for Detection of Changes in Nonlinear Systems

Published:2000-07 Issue:7 Volume:126 Page:666-676
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Masri S. F.¹²³⁴⁵,Smyth A. W.¹²³⁴⁵,Chassiakos A. G.¹²³⁴⁵,Caughey T. K.¹²³⁴⁵,Hunter N. F.¹²³⁴⁵

Affiliation:

1. School of Engrg., Dept. of Civ. Engrg., Univ. of Southern California, 3620 S. Vermont Ave., KAP 210, MC 2531, Los Angeles, CA 90089-2531. E-mail: masri@usc.edu

2. School of Engrg. and Appl. Sci., Columbia Univ., 610 S.W. Mudd Bldg., Mail Code 4709, 500 W. 120th St., New York, NY 10027-6699.

3. School of Engrg., California State Univ., Long Beach, CA 90840-5602.

4. Div. of Engrg. and Appl. Sci., Mail Code 104-44, California Inst. of Technol., Pasadena, CA 91125.

5. Anal. and Testing, Los Alamos Nat. Lab., Los Alamos, NM 87545.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9399%282000%29126%3A7%28666%29

Reference16 articles.

1. Agbabian M. S. and Masri S. F. eds. (1988). Proc. Int. Workshop on Nondestructive Evaluation for Perf. of Civ. Struct. Publ. No. M8805 Civ. Engrg. Dept. University of Southern California Los Angeles.

2. Chassiakos A. G. Kosmatopoulos E. B. Masri S. F. and Smyth A. W. (1998). “Robust neural control of unknown structures.” Proc. 12th Engrg. Mech. Conf. ASCE Reston Va.

3. Doebling S. W. and Farrar C. R. eds. (2000). “The state of the art in structural identification of constructed facilities ” ASCE Rep. by Comm. on Struct. Identification of Constr. Fac. under review.

4. Structural Control: Past, Present, and Future

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