| Description |
1 online resource (viii, 101 pages) : illustrations (some color) |
| Series |
SpringerBriefs in applied sciences and technology, Computational intelligence |
|
SpringerBriefs in applied sciences and technology. Computational intelligence.
|
| Contents |
Introduction -- Background and Theory -- Proposed Method -- Application to Human Recognition -- Experimental Results -- Conclusions |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed March 1, 2016) |
| Subject |
Granular computing.
|
|
Neural networks (Computer science)
|
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Genetic algorithms.
|
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Neural Networks, Computer
|
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Artificial intelligence.
|
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Mathematical modelling.
|
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COMPUTERS -- General.
|
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Genetic algorithms
|
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Granular computing
|
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Neural networks (Computer science)
|
| Form |
Electronic book
|
| Author |
Melin, Patricia, 1962- author.
|
| ISBN |
9783319288628 |
|
3319288628 |
|
331928861X |
|
9783319288611 |
|
