Ebook: Applications of Neural Networks

Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'. Section C presents a number of examples of `Unsupervised Training'.
For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.

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Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'. Section C presents a number of examples of `Unsupervised Training'.
For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.

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Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'. Section C presents a number of examples of `Unsupervised Training'.
For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.

Content:
Front Matter....Pages i-xii
Neural Architectures and Algorithms....Pages 1-33
Face Finding in Images....Pages 35-70
Sex Recognition from Faces Using Neural Networks....Pages 71-92
ANN Based Classification of Arrhythmias....Pages 93-112
Classification of Cells in Cervical Smears....Pages 113-131
Multiphase flow monitoring in oil pipelines....Pages 133-155
Electrical Load Forecasting....Pages 157-189
On the Application of Artificial Neural Networks to Process Control....Pages 191-219
Nested Networks for Robot Control....Pages 221-239
Adaptive Equalisation using Neural Networks....Pages 241-265
TD-Gammon: A Self-Teaching Backgammon Program....Pages 267-285
Temporal Difference Learning: A Chemical Process Control Application....Pages 287-303
Automated Sleep EEg Analysis using an RBF Network....Pages 305-320
Back Matter....Pages 321-322

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Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'. Section C presents a number of examples of `Unsupervised Training'.
For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.

Content:
Front Matter....Pages i-xii
Neural Architectures and Algorithms....Pages 1-33
Face Finding in Images....Pages 35-70
Sex Recognition from Faces Using Neural Networks....Pages 71-92
ANN Based Classification of Arrhythmias....Pages 93-112
Classification of Cells in Cervical Smears....Pages 113-131
Multiphase flow monitoring in oil pipelines....Pages 133-155
Electrical Load Forecasting....Pages 157-189
On the Application of Artificial Neural Networks to Process Control....Pages 191-219
Nested Networks for Robot Control....Pages 221-239
Adaptive Equalisation using Neural Networks....Pages 241-265
TD-Gammon: A Self-Teaching Backgammon Program....Pages 267-285
Temporal Difference Learning: A Chemical Process Control Application....Pages 287-303
Automated Sleep EEg Analysis using an RBF Network....Pages 305-320
Back Matter....Pages 321-322
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