文件名称:Fusion-of-Neural-Networks--Fuzzy-Systems-and-Gene
- 所属分类：
- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间：
- 2012-11-26
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- 3.18mb
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- 0次
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- Br***
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The past two decades have seen an explosion of renewed interest in the areas of Artificial Intelligence and
Information Processing. Much of this interest has come about with the successful demonstration of real-world
applications of Artificial Neural Networks (ANNs) and their ability to learn. Initially proposed during the
1950s, the technology suffered a roller coaster development accompanied by exaggerated claims of their
virtues, excessive competition between rival research groups, and the perils of boom and bust research
funding. ANNs have only recently found a reasonable degree of respectability as a tool suitable for achieving
a nonlinear mapping between an input and output space. ANNs have proved particularly valuable for
applications where the input data set is of poor quality and not well characterized. At this stage, pattern
recognition and control systems have emerged as the most successful ANN applications.
Information Processing. Much of this interest has come about with the successful demonstration of real-world
applications of Artificial Neural Networks (ANNs) and their ability to learn. Initially proposed during the
1950s, the technology suffered a roller coaster development accompanied by exaggerated claims of their
virtues, excessive competition between rival research groups, and the perils of boom and bust research
funding. ANNs have only recently found a reasonable degree of respectability as a tool suitable for achieving
a nonlinear mapping between an input and output space. ANNs have proved particularly valuable for
applications where the input data set is of poor quality and not well characterized. At this stage, pattern
recognition and control systems have emerged as the most successful ANN applications.
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下载文件列表
| 文件名 | 大小 | 更新时间 |
|---|---|---|
| Fusion of Neural Networks | Fuzzy Systems and Genetic Algorithms - Industrial Applications.pdf |