Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation
Sanchez, Daniela; Melin, Patricia
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Description for Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation
Paperback. Series: SpringerBriefs in Applied Sciences and Technology. Num Pages: 109 pages, 7 black & white illustrations, 50 colour illustrations, biography. BIC Classification: PBWH; UYQ. Category: (G) General (US: Trade). Dimension: 235 x 155 x 6. Weight in Grams: 186.
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 ... Read more
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Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
109
Condition
New
Series
SpringerBriefs in Applied Sciences and Technology
Number of Pages
101
Place of Publication
Cham, Switzerland
ISBN
9783319288611
SKU
V9783319288611
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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