Classification and Modeling with Linguistic Information Granules Advanced Approaches to Linguistic Data Mining /

• Κύριοι συγγραφείς: Ishibuchi, Hisao (Συγγραφέας), Nakashima, Tomoharu (Συγγραφέας), Nii, Manabu (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Σειρά: Advanced Information Processing
• Θέματα: Linguistics.; Computers.; Artificial intelligence.; Computational linguistics.; Computational Linguistics.; Artificial Intelligence (incl. Robotics).; Models and Principles.

Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod­ els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, i...

Πίνακας περιεχομένων:

• Linguistic Information Granules
• Pattern Classification with Linguistic Rules
• Learning of Linguistic Rules
• Input Selection and Rule Selection
• Genetics-Based Machine Learning
• Multi-Objective Design of Linguistic Models
• Comparison of Linguistic Discretization with Interval Discretization
• Modeling with Linguistic Rules
• Design of Compact Linguistic Models
• Linguistic Rules with Consequent Real Numbers
• Handling of Linguistic Rules in Neural Networks
• Learning of Neural Networks from Linguistic Rules
• Linguistic Rule Extraction from Neural Networks
• Modeling of Fuzzy Input—Output Relations.