Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

• Κύριοι συγγραφείς: Sanchez, Daniela (Συγγραφέας), Melin, Patricia (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Έκδοση: 1st ed. 2016.
• Σειρά: SpringerBriefs in Applied Sciences and Technology,
• Θέματα: Engineering.; Artificial intelligence.; Neural networks (Computer science).; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Mathematical Models of Cognitive Processes and Neural Networks.

In this book, a new method for hybrid intelligent systems is proposed. The proposed method is based on a granular computing approach applied in two levels. The techniques used and combined in the proposed method are modular neural networks (MNNs) with a Granular Computing (GrC) approach, thus result...

Πίνακας περιεχομένων:

• Introduction
• Background and Theory
• Proposed Method
• Application to Human Recognition
• Experimental Results
• Conclusions.