| Description |
1 online resource (xvi, 282 pages) |
| Note |
Includes index. |
| Contents |
1. Introduction to natural and artificial neural networks -- 2. Neural net structure -- 3. Teaching networks -- 4. Functioning of simplest networks -- 5. Teaching simple linear one-layer neural networks -- 6. Nonlinear networks -- 7. Backpropagation -- 8. Forms of neural network learning -- 9. Self-learning neural networks -- 10. Self-organizing neural networks -- 11. Recurrent networks. |
| Bibliography |
Includes bibliographical references and index. |
| Summary |
The utility of artificial neural network models lies in the fact that they can be used to infer functions from observations-making them especially useful in applications where the complexity of data or tasks makes the design of such functions by hand impractical. Exploring Neural Networks with C♯ presents the important properties of neural networks-while keeping the complex mathematics to a minimum. Explaining how to build and use neural networks, it presents complicated information about neural networks structure, functioning, and learning in a manner that is easy t. |
| Subject |
Neural networks (Computer science)
|
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C# (Computer program language)
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|
Neural Networks, Computer |
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Réseaux neuronaux (Informatique) |
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C# (Langage de programmation) |
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C# (Computer program language) |
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Neural networks (Computer science) |
| Genre |
Electronic books.
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Problems and exercises
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| Added Author |
Chaki, Rituparna, author.
|
|
Chaki, Nabendu, author.
|
| Other Form: |
Print version: 9781482233391 |
| ISBN |
9781482233407 |
|
1482233401 |
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9781322638515 |
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1322638519 |
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9780429256226 (electronic book) |
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0429256221 (electronic book) |
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9781498760379 (electronic book) |
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1498760376 (electronic book) |
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