Modeling Decision for Artificial Intelligence (MDAI 2006)

Modeling Decisions for Artificial Intelligence, Third International Conference, MDAI 2006, Tarragona, Spain, April 3-5, 2006, Proceedings

This volume contains papers presented at the 3rd International Conference on Modeling Decisions for Artificial Intelligence (MDAI 2006), held in Tarragona, Catalonia, Spain, April 3-5, 2006. This conference followed MDAI 2004 (held in Barcelona, Catalonia) and MDAI 2005 (held in Tsukuba, Japan) both with proceedings also published in the LNAI series (Vols. 3131 and 3558). The aim of this confer...

Modeling Decisions for Artificial Intelligence, Second International Conference, MDAI 2005, Tsukuba, Japan, July 25-27, 2005, Proceedings

Modeling Decisions for Artificial Intelligence, 5th International Conference, MDAI 2008, Sabadell, Spain, October 30-31, 2008. Proceedings

Bring home now the book enPDFd modeling decisions for artificial intelligence 5th international conference mdai 2008 sabadell spain october 30 31 2008 proceedings lecture notes in computer science to be your sources when going to read. It can be your new collection to not only display in your racks but also be the one that can help you fining the best sources. As in common, book is the window t...

Yarn tenacity modeling using artificial neural networks and development of a decision support system based on genetic algorithms

Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural network is used as a suitable structure for tenacity modeling of cotton yarn with 30 Ne. As the first step for modeling, the empirical data is col...

Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection

The use of knowledge-based systems can represent an efficient approach for system management, providing automatic control strategies with Artificial Intelligence capabilities. By means of Artificial Intelligence, the system is capable of assessing, diagnosing and suggesting the best operation mode. One important Artificial Intelligence tool for automatic control is the use of fuzzy logic contro...