Name: Intelligent Systems: Neural Networks and Fuzzy Logic (en Inglés)
Price: 78.90 USD
Availability: InStock
Author: Singh, Jarnail; Sharma, Himanshu
ISBN: 9786208447373

portada Intelligent Systems: Neural Networks and Fuzzy Logic (en Inglés)

Intelligent Systems: Neural Networks and Fuzzy Logic (en Inglés)

Formato

Libro Físico

Editorial

LAP Lambert Academic Publishing

Autor

Singh, Jarnail; Sharma, Himanshu

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 0.6 cm

ISBN13

9786208447373

Intelligent Systems: Neural Networks and Fuzzy Logic (en Inglés)

Singh, Jarnail; Sharma, Himanshu (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Intelligent Systems: Neural Networks and Fuzzy Logic (en Inglés)"

Neural networks and fuzzy logic are two key areas of artificial intelligence that replicate aspects of human cognition. Neural networks are inspired by the brain's structure, consisting of interconnected neurons that process and learn from data. They are capable of supervised, unsupervised, and reinforcement learning, and are used in applications like pattern recognition, optimization, and speech processing. Key models include the perceptron, Hopfield networks, radial basis function networks, and Kohonen's self-organizing maps. Learning mechanisms involve weight adjustments based on input patterns and feedback. Fuzzy logic, on the other hand, deals with reasoning under uncertainty using fuzzy sets, linguistic variables, and membership functions. It contrasts with traditional binary logic by allowing partial truth values. Fuzzy systems use inference rules and defuzzification techniques to make decisions and are widely applied in control systems such as anti-lock braking systems (ABS) and industrial automation. Both paradigms are also being implemented in hardware, including VLSI, for faster and more efficient processing.