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Hierarchical modular granular neural networks with fuzzy aggregation[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3
書名/作者:	Hierarchical modular granular neural networks with fuzzy aggregation/ by Daniela Sanchez, Patricia Melin.
作者:	Sanchez, Daniela.
其他作者:	Melin, Patricia.
出版者:	Cham : : Springer International Publishing :, 2016.
面頁冊數:	viii, 101 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Granular computing.
標題:	Neural networks (Computer science)
標題:	Genetic algorithms.
標題:	Engineering.
標題:	Computational Intelligence.
標題:	Artificial Intelligence (incl. Robotics)
標題:	Mathematical Models of Cognitive Processes and Neural Networks.
ISBN:	9783319288628
ISBN:	9783319288611
內容註:	Introduction -- Background and Theory -- Proposed Method -- Application to Human Recognition -- Experimental Results -- Conclusions.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-28862-8

Hierarchical modular granular neural networks with fuzzy aggregation[electronic resource] /
Sanchez, Daniela.

Hierarchical modular granular neural networks with fuzzy aggregation[electronic resource] /by Daniela Sanchez, Patricia Melin. - Cham :Springer International Publishing :2016. - viii, 101 p. :ill., digital ;24 cm. - SpringerBriefs in applied sciences and technology,2191-530X. - SpringerBriefs in applied sciences and technology..

Introduction -- Background and Theory -- Proposed Method -- Application to Human Recognition -- Experimental Results -- Conclusions.

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.

ISBN: 9783319288628

Standard No.: 10.1007/978-3-319-28862-8doiSubjects--Topical Terms:

602135
Granular computing.

LC Class. No.: QA76.9.S63

Dewey Class. No.: 006.3

Hierarchical modular granular neural networks with fuzzy aggregation[electronic resource] /
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