| 书目名称 | Intelligent and Soft Computing in Infrastructure Systems Engineering |
| 副标题 | Recent Advances |
| 编辑 | Kasthurirangan Gopalakrishnan,Halil Ceylan,Nii O. |
| 视频video | |
| 概述 | State of the art of intelligent and soft computing in infrastructure systems engineering |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | The term “soft computing” applies to variants of and combinations under the four broad categories of evolutionary computing, neural networks, fuzzy logic, and Bayesian statistics. Although each one has its separate strengths, the complem- tary nature of these techniques when used in combination (hybrid) makes them a powerful alternative for solving complex problems where conventional mat- matical methods fail. The use of intelligent and soft computing techniques in the field of geo- chanical and pavement engineering has steadily increased over the past decade owing to their ability to admit approximate reasoning, imprecision, uncertainty and partial truth. Since real-life infrastructure engineering decisions are made in ambiguous environments that require human expertise, the application of soft computing techniques has been an attractive option in pavement and geomecha- cal modeling. The objective of this carefully edited book is to highlight key recent advances made in the application of soft computing techniques in pavement and geo- chanical systems. Soft computing techniques discussed in this book include, but are not limited to: neural networks, evolutionary computing, swarm i |
| 出版日期 | Book 2009 |
| 关键词 | Racter; data mining; evolution; evolutionary computation; fuzzy system; kernel; knowledge; knowledge discov |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-04586-8 |
| isbn_softcover | 978-3-642-26150-3 |
| isbn_ebook | 978-3-642-04586-8Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2009 |
发表于 2025-3-21 17:28:38
