Deep Neuro-Fuzzy Systems with Python | With Case Studies and Applications from the Industry
Lingua: inglese
Editore: Apress, 2019
- Brossura
- Nuovo

Da: preigu, Osnabrück, Germaniapreigu
Venditore AbeBooks dal 5 agosto 2024
Condizione: Nuovo
EUR 50,95
Quantità: 5 disponibili
Aggiungi al carrelloDescrizione dell’articolo da parte del venditore
Codice articolo 117244182
- Titolo
- Deep Neuro-Fuzzy Systems with Python | With Case Studies and Applications from the Industry
- Autore
- Himanshu Singh (u. a.)
- Editore
- Apress
- Anno di pubblicazione
- 2019
- Condizione
- Neu
- Rilegatura
- Taschenbuch
- Lingua
- inglese
- ISBN 10
- 1484253604
- ISBN 13
- 9781484253601
- Peso dell'articolo
- 423 grammi
- Dimensioni
- 235 x 155 x 16 mm
- Cataloghi dei venditori
- Bücher
Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python.
Youll start by walking through the basics of fuzzy sets and relations, and how each member of the set has its own membership function values. Youll also look at different architectures and models that have been developed, and how rules and reasoning have been defined to make the architectures possible. The book then provides a closer look at neural networks and related architectures, focusing on the various issues neural networks may encounter during training, and how different optimization methods can help you resolve them.
In the last section of the book youll examine the integrations of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. Youll review different types of deep neuro fuzzy classifiers, fuzzy neurons, and the adaptive learning capability of the neural networks. The book concludes by reviewing advanced neuro fuzzy models and applications.
What Youll Learn
- Understand fuzzy logic, membership functions, fuzzy relations, and fuzzy inference
- Review neural networks, back propagation, and optimization
- Work with different architectures such as Takagi-Sugeno model, Hybrid model, genetic algorithms, and approximations
- Apply Python implementations of deep neuro fuzzy system
Who This book Is For
Data scientists and software engineers with a basic understanding of Machine Learning who want to expand into the hybrid applications of deep learning and fuzzy logic.
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preigu
Osnabrück, Germania
Venditore AbeBooks dal 5 agosto 2024
Tariffe di spedizione da Germania a U.S.A.
| Articolo | Da 60 a 60 giorni lavorativi | Da 60 a 60 giorni lavorativi |
|---|---|---|
| Primo articolo | EUR 70,00 | EUR 70,00 |
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