Artificial Intelligence : A Guide to Intelligent Systems. Este artículo no está disponible.
65 valoraciones de Goodreads
Idioma: inglés
Editorial: Benjamin-Cummings Publishing Company, 2001
- Primera edición
- Tapa dura
- Usado
Librería: Better World Books Ltd, Dunfermline, Reino UnidoBetter World Books Ltd
Vendedor de 5 estrellas
Vendedor de IberLibro desde 13 de octubre de 2008
No disponible
Tapa dura
Condición: Usado - Aceptable
EUR 5,72
Descripción del artículo del vendedor
Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
N° de ref. del artículo 338267-6
- Título
- Artificial Intelligence : A Guide to Intelligent Systems
- Autor
- Negnevitsky, Michael
- Editorial
- Benjamin-Cummings Publishing Company
- Año de publicación
- 2001
- Estado
- Good
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 0201711591
- ISBN 13
- 9780201711592
- Edición
- 1st.
- Peso del artículo
- 1,651 libras
- Dimensiones
- N/A
Artificial Intelligence: A Guide to Intelligent Systems provides a practical introduction to artificial intelligence that is less mathematically rigorous than other texts on the market. Its broad coverage of expert systems, artificial neural networks, fuzzy systems and evolutionary computation shows how intelligent systems work together. Michael Negnevitsky neatly explains the principles, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job. No particular programming language knowledge is assumed and mathematical prerequisites are kept to a minimum.
“Sinopsis” puede pertenecer a otra edición de este título.
Reseña del editor
Artificial Intelligence: A Guide to Intelligent Systems provides a practical introduction to artificial intelligence that is less mathematically rigorous than other texts on the market. Its broad coverage of expert systems, artificial neural networks, fuzzy systems and evolutionary computation shows how intelligent systems work together. Michael Negnevitsky neatly explains the principles, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job. No particular programming language knowledge is assumed and mathematical prerequisites are kept to a minimum.
“Acerca de” puede pertenecer a otra edición de este título.