[Studies in Computational Intelligence] Soft Computing for Business Intelligence Volume 537 || Fuzzy Data-Mining Hybrid Methods for Recommender Systems

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Soft Computing for Hybrid Intelligent Systems Volume 154 || Comparison between Ant Colony and Genetic Algorithms for Fuzzy System Optimization

✍ Castillo, Oscar; Melin, Patricia; Kacprzyk, Janusz; Pedrycz, Witold 📂 Article 📅 2008 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 505 KB

We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hy

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Soft Computing for Hybrid Intelligent Systems Volume 154 || Fuzzy Control for Output Regulation of a Servomechanism with Backlash

✍ Castillo, Oscar; Melin, Patricia; Kacprzyk, Janusz; Pedrycz, Witold 📂 Article 📅 2008 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 313 KB

We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hy

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Computational Intelligence for Technology Enhanced Learning Volume 273 || Computational Intelligence Methods for Data Analysis and Mining of eLearning Activities

✍ Xhafa, Fatos; Caballé, Santi; Abraham, Ajith; Daradoumis, Thanasis; Juan Perez, 📂 Article 📅 2010 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 527 KB

E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activ

[Advances in Intelligent Systems and Com

[Advances in Intelligent Systems and Computing] Synergies of Soft Computing and Statistics for Intelligent Data Analysis Volume 190 || Hybrid Models: Probabilistic and Fuzzy Information

✍ Kruse, Rudolf; Berthold, Michael R.; Moewes, Christian; Gil, María Ángeles; Grze 📂 Article 📅 2013 🏛 Springer Berlin Heidelberg ⚖ 179 KB

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Soft Computing for Data Mining Applications Volume 190 || Dynamic Association Rule Mining Using Genetic Algorithms

✍ Venugopal, K. R. 📂 Article 📅 2009 🏛 Springer Berlin Heidelberg 🌐 German ⚖ 253 KB

The Authors Have Consolidated Their Research Work In This Volume Titled Soft Computing For Data Mining Applications. The Monograph Gives An Insight Into The Research In The ?elds Of Data Mining In Combination With Soft Computing Methodologies. In These Days, The Data Continues To Grow - Ponentially.

[Studies in Computational Intelligence]

[Studies in Computational Intelligence] Advances in Intelligent Tutoring Systems Volume 308 || Mining Data for Student Models

✍ Nkambou, Roger; Bourdeau, Jacqueline; Mizoguchi, Riichiro 📂 Article 📅 2010 🏛 Springer Berlin Heidelberg 🌐 English ⚖ 252 KB

May the Forcing Functions be with You: The Stimulating World of AIED and ITS Research It is my pleasure to write the foreword for Advances in Intelligent Tutoring S- tems. This collection, with contributions from leading researchers in the field of artificial intelligence in education (AIED), consti