| 书目名称 | Information Processing with Evolutionary Algorithms |
| 副标题 | From Industrial Appl |
| 编辑 | Xindong Wu,Lakhmi Jain,Paul P. Wang |
| 视频video | |
| 概述 | Reflects the state of the art in information processing with evolutionary algorithms from both the academic and industrial sides.Contains some examples of successful applications that will encourage p |
| 丛书名称 | Advanced Information and Knowledge Processing |
| 图书封面 |  |
| 描述 | The last decade of the 20th century has witnessed a surge of interest in num- ical, computation-intensive approaches to information processing. The lines that draw the boundaries among statistics, optimization, arti cial intelligence and information processing are disappearing, and it is not uncommon to nd well-founded and sophisticated mathematical approaches in application - mains traditionally associated with ad-hoc programming. Heuristics has - come a branch of optimization and statistics. Clustering is applied to analyze soft data and to provide fast indexing in the World Wide Web. Non-trivial matrix algebra is at the heart of the last advances in computer vision. The breakthrough impulse was, apparently, due to the rise of the interest in arti cial neural networks, after its rediscovery in the late 1980s. Disguised as ANN, numerical and statistical methods made an appearance in the - formation processing scene, and others followed. A key component in many intelligent computational processing is the search for an optimal value of some function. Sometimes, this function is not evident and it must be made explicit in order to formulate the problem as an optimization problem. The |
| 出版日期 | Book 2005 |
| 关键词 | 3D; Computer Graphi; Evolutionary Algorithms; Hardware Design; Image Processing; Information Processing; P |
| 版次 | 1 |
| doi | https://doi.org/10.1007/b138854 |
| isbn_softcover | 978-1-84996-937-6 |
| isbn_ebook | 978-1-84628-117-4Series ISSN 1610-3947 Series E-ISSN 2197-8441 |
| issn_series | 1610-3947 |
| copyright | Springer-Verlag London 2005 |
发表于 2025-3-21 16:27:34
