Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

Name: Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation
SKU: 24522401
Price: 138.99 AUD
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Format:

Paperback / softback

Series:

SpringerBriefs in Computational Intelligence

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Description

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.

Release date Australia

March 2nd, 2016

Author

Audiences

Postgraduate, Research & Scholarly
Professional & Vocational

Edition

1st ed. 2016

Illustrations

50 Illustrations, color; 7 Illustrations, black and white; VIII, 101 p. 57 illus., 50 illus. in color.

Pages

101

Series

SpringerBriefs in Computational Intelligence

Dimensions

155x235x6

ISBN-13

9783319288611

Product ID

24522401

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