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Exploring neural networks with C♯ /
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♯ pr...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
[2015]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Tadeusiewicz, Ryszard, |e author. | |
| 245 | 1 | 0 | |a Exploring neural networks with C♯ / |c Ryszard Tadeusiewicz, Rituparna Chaki, Nabendu Chaki. |
| 264 | 1 | |a Boca Raton, FL : |b CRC Press, |c [2015] | |
| 264 | 4 | |c ©20 | |
| 264 | 4 | |c ©2015 | |
| 300 | |a 1 online resource (xvi, 282 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Online resource; title from PDF title page (viewed 8/20/14). | |
| 505 | 0 | |a 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. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a 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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a C# (Computer program language) | |
| 650 | 2 | |a Neural Networks, Computer | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 6 | |a C# (Langage de programmation) | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a C♯ (Computer program language) |2 fast |0 (OCoLC)fst00843284 | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast |0 (OCoLC)fst01036260 | |
| 655 | 0 | |a Electronic books. | |
| 655 | 7 | |a Problems and exercises. |2 fast |0 (OCoLC)fst01423783 | |
| 700 | 1 | |a Chaki, Rituparna, |e author. | |
| 700 | 1 | |a Chaki, Nabendu, |e author. | |
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