Structural Engineering and Mechanics
Volume 11, Number 5, 2001, pages 485-502
DOI: 10.12989/sem.2001.11.5.485
Biologically inspired soft computing methods in structural mechanics and enginering
Jamshid Ghaboussi(U.S.A.)
Abstract
Modern soft computing methods, such as neural networks, evolutionary models and fuzzy<br />logic, are mainly inspired by the problem solving strategies the biological systems use in nature. As such,<br />the soft computing methods are fundamentally different from the conventional engineering problem<br />solving methods, which are based on mathematics. In the author
Key Words
soft computing; newral networks; genetic algorithm; structural mechanics; inverse problems.
Address
Jamshid Ghaboussi, Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, U.S.A.