Cover Image
Read Now

Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

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...

Full description

Bibliographic Details
Main Authors: Sanchez, Daniela, Melin, Patricia (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2016, 2016
Edition:1st ed. 2016
Series:SpringerBriefs in Computational Intelligence
Subjects:
Computational Intelligence
Artificial Intelligence
Mathematical Models Of Cognitive Processes And Neural Networks
Neural Networks (computer Science) 
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 02168nmm a2200337 u 4500
001 EB001124074
003 EBX01000000000000000856957
005 00000000000000.0
007 cr|||||||||||||||||||||
008 160307 ||| eng
020 |a 9783319288628 
100 1 |a Sanchez, Daniela 
245 0 0 |a Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation  |h Elektronische Ressource  |c by Daniela Sanchez, Patricia Melin 
250 |a 1st ed. 2016 
260 |a Cham  |b Springer International Publishing  |c 2016, 2016 
300 |a VIII, 101 p. 57 illus., 50 illus. in color  |b online resource 
505 0 |a Introduction -- Background and Theory -- Proposed Method -- Application to Human Recognition -- Experimental Results -- Conclusions 
653 |a Computational intelligence 
653 |a Artificial Intelligence 
653 |a Mathematical Models of Cognitive Processes and Neural Networks 
653 |a Computational Intelligence 
653 |a Neural networks (Computer science)  
653 |a Artificial intelligence 
700 1 |a Melin, Patricia  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
490 0 |a SpringerBriefs in Computational Intelligence 
028 5 0 |a 10.1007/978-3-319-28862-8 
856 4 0 |u https://doi.org/10.1007/978-3-319-28862-8?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 006.3 
520 |a 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 resulting in a new concept of MNNs; modular granular neural networks (MGNNs). In addition fuzzy logic (FL) and hierarchical genetic algorithms (HGAs) are techniques used in this research work to improve results. These techniques are chosen because in other works have demonstrated to be a good option, and in the case of MNNs and HGAs, these techniques allow to improve the results obtained than with their conventional versions; respectively artificial neural networks and genetic algorithms 

Similar Items