Artificial Intelligence through Prolog
by Neil C. Rowe
Publisher: Prentice-Hall 1988
Number of pages: 481
Artificial intelligence is a hard subject to learn. The author have written a book to make it easier. He explains difficult concepts in a simple, concrete way. This book is intended for all first courses in artificial intelligence at the undergraduate or graduate level, requiring background of only a few computer science courses.
Home page url
Download or read it online for free here:
by George K Matsopoulos - InTech
Contents: Learning the Number of Clusters in Self Organizing Map; Neural-Network Enhanced Visualization of High-Dimensional Data; SOM-based Applications in Remote Sensing; Segmentation of Satellite Images Using SOM; Face Recognition Using SOM; etc.
by Ahmed Rebai (ed.) - InTech
Bayesian networks are a general tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. This is a collection of contributions to the methodology and applications of Bayesian networks.
by Wei Zhang - InTech
Fault diagnosis technology is a synthetic technology, which relates to several subjects: modern control theory, reliability theory, mathematical statistics, fussy set theory, information handling, pattern recognition and artificial intelligence.
by Antonio Lieto, Marco Cruciani (eds) - University of Torino
This book of Proceedings contains the accepted papers of the first International Workshop on Artificial Intelligence and Cognition (AIC13). The scientific motivation resides on the growing impact between Cognitive Science and Artificial Intelligence.