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Structural Engineering and Mechanics Volume 11, Number 5, May 2001 , pages 485-502 DOI: https://doi.org/10.12989/sem.2001.11.5.485 |
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Biologically inspired soft computing methods in structural mechanics and enginering |
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Jamshid Ghaboussi(U.S.A.)
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| Abstract | ||
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Modern soft computing methods, such as neural networks, evolutionary models and fuzzy logic, are mainly inspired by the problem solving strategies the biological systems use in nature. As such, the soft computing methods are fundamentally different from the conventional engineering problem 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. | ||