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Hierarchical Modular Granular Neural Networks With Fuzzy Aggregation (Paperback) (Daniela Sanchez &

Hierarchical Modular Granular Neural Networks With Fuzzy Aggregation (Paperback) (Daniela Sanchez & - image 1 of 1

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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.

Genre: Computers + Internet, Mathematics
Sub-Genre: Applied, Artificial Intelligence
Series Title: Springerbriefs in Computational Intelligence
Format: Paperback
Publisher: Springer Verlag
Author: Daniela Sanchez & Patricia Melin
Language: English
Street Date: March 2, 2016
TCIN: 51082205
UPC: 9783319288611
Item Number (DPCI): 248-15-4050

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