文件名称:Advances-in-design-and-application-of-neural-netw
介绍说明－－下载内容均来自于网络，请自行研究使用
Even since the introduction of backpropagation in 1986,
neural networks have gained considerable attention from
researchers for more than two decades now. A variety of
neural network models have been designed and applied
successfully to solve real-world problems in various
domains. Neural networks have also been widely synergized
with other machine learning and complementary
techniques to achieve improvements in robustness, adaptivity,
and applicability. In this special issue, a total of
seven articles, based on extended papers the 12th
International Conference on Knowledge-Based and Intelligent
Information & Engineering Systems (KES2008) as
well as other submissions, are presented. These
papers form a small sample of research in demonstrating
the usefulness of intelligent information processing techniques
in the design and application of neural networks. A
summary of each paper is as follows.
-Even since the introduction of backpropagation in 1986,
neural networks have gained considerable attention from
researchers for more than two decades now. A variety of
neural network models have been designed and applied
successfully to solve real-world problems in various
domains. Neural networks have also been widely synergized
with other machine learning and complementary
techniques to achieve improvements in robustness, adaptivity,
and applicability. In this special issue, a total of
seven articles, based on extended papers the 12th
International Conference on Knowledge-Based and Intelligent
Information & Engineering Systems (KES2008) as
well as other submissions, are presented. These
papers form a small sample of research in demonstrating
the usefulness of intelligent information processing techniques
in the design and application of neural networks. A
summary of each paper is as follows.
neural networks have gained considerable attention from
researchers for more than two decades now. A variety of
neural network models have been designed and applied
successfully to solve real-world problems in various
domains. Neural networks have also been widely synergized
with other machine learning and complementary
techniques to achieve improvements in robustness, adaptivity,
and applicability. In this special issue, a total of
seven articles, based on extended papers the 12th
International Conference on Knowledge-Based and Intelligent
Information & Engineering Systems (KES2008) as
well as other submissions, are presented. These
papers form a small sample of research in demonstrating
the usefulness of intelligent information processing techniques
in the design and application of neural networks. A
summary of each paper is as follows.
-Even since the introduction of backpropagation in 1986,
neural networks have gained considerable attention from
researchers for more than two decades now. A variety of
neural network models have been designed and applied
successfully to solve real-world problems in various
domains. Neural networks have also been widely synergized
with other machine learning and complementary
techniques to achieve improvements in robustness, adaptivity,
and applicability. In this special issue, a total of
seven articles, based on extended papers the 12th
International Conference on Knowledge-Based and Intelligent
Information & Engineering Systems (KES2008) as
well as other submissions, are presented. These
papers form a small sample of research in demonstrating
the usefulness of intelligent information processing techniques
in the design and application of neural networks. A
summary of each paper is as follows.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Advances in design and application of neural networks.pdf