Agent-Based Hybrid Intelligent Systems Many complex problems, such as financial investment planning, involve many different components or sub-tasks, each of which requires different types of processing. To solve such complex problems, a great diversity of intelligent techniques, including traditional hard computing techniques (e.g., expert systems) and soft computing techniques (e.g.,... Data Modeling for Metrology and Testing in Measurement Science This book and companion DVD provide a comprehensive set of modeling methods for data and uncertainty analysis, taking readers beyond mainstream methods described in standard texts. The emphasis throughout is on techniques having a broad range of real-world applications in measurement science. Mainstream methods of data modeling and analysis... Fuzzy Logic and Probability Applications: A Practical Guide
Probability theory and fuzzy logic are the principal components of an array of methodologies
for dealing with problems in which uncertainty and imprecision play important roles.
In relation to probability theory, fuzzy logic is a new kid on the block. As such, it has been
and continues to be, though to a lesser degree, an object of...
Cloud Computing: Web-Based Dynamic IT Services
Cloud computing is on everyone’s lips: as an innovative technology, as the next
generation of the Internet, as a fundamental transformation of the entire IT landscape,
and as an auspicious opportunity to introduce new business ideas. But what is
actually at the heart of this notion?
As a result of the multi-faceted...
AI for Game Developers Written for the novice AI programmer, AI for Game Developers introduces you to techniques such as finite state machines, fuzzy logic, neural networks, and many others, in straightforward, easy-to-understand language, supported with code samples throughout the entire book (written in C/C++). From basic...
|Result Page: 27 26 25 24 23 22 21 20 19 18 17 16 15 |