Applications of neural networks in electromagnetics
著者
書誌事項
Applications of neural networks in electromagnetics
（The Artech House antennas and propagation library）
Artech House, c2001
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
An explanation of how the high-speed capabilities and "learning" abilities of neural networks can be applied to solving numerous complex optimization problems in electromagnetics. It seeks to help the reader understand the basics and strengths and limitations of each main network architecture in use today. Moreover, it identifies situations when the use of neural networks is the best problem-solving option.
目次
- Bridging neural nets and electromagnetic wave applications
- single layer perceptron and multi-layer perceptron
- radial basis function networks
- Kohonen neural networks
- ART neural network architectures
- recurrent neural networks
- what are considered electromagnetic applications
- applications of neural networks in RF and mobile communications
- applications of neural networks in scattering
- applications of neural networks in radar and remote sensing
- applications of neural networks in microwave circuits
- applications of neural networks in computational electromagnetics. (Part contents)
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