Artificial Intelligence is one of the most rapidly evolving subjects within the computing engineering curriculum with an emphasis on creating practical applications from hybrid techniques Despite this the traditional textbooks continue to expect mathematical and programming expertise beyond the scope of current undergraduates and focus on areas not relevant to many of today s courses Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge based systems neural networks fuzzy systems evolutionary computation and now also data mining The principles behind these techniques are explained without resorting to complex mathematics showing how the various techniques are implemented when they are useful and when they are not No particular programming language is assumed and the book does not tie itself to any of the software tools available However available tools and their uses will be described and program examples will be given in MATLAB The lack of assumed prior knowledge makes this book ideal for any introductory courses in artificial intelligence or intelligent systems design while the contemporary coverage means more advanced students will benefit by discovering the latest state of the art techniques The book cover
Ficha técnica
Editorial: Longman
ISBN: 9781408225745
Idioma: Inglés
Número de páginas: 504
Encuadernación: Tapa blanda
Fecha de lanzamiento: 26/05/2011
Año de edición: 2011
Especificaciones del producto
Opiniones sobre ARTIFICIAL INTELLIGENCE
¡Sólo por opinar entras en el sorteo mensual de tres tarjetas regalo valoradas en 20€*!