Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation by Daniela Sanchez, Patricia Melin, Springer International Publishing
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Daniela Sanchez, Patricia Melin ISBN: 9783319288628
Publisher: Springer International Publishing Publication: February 23, 2016
Imprint: Springer Language: English
Author: Daniela Sanchez, Patricia Melin
ISBN: 9783319288628
Publisher: Springer International Publishing
Publication: February 23, 2016
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Springer International Publishing

Cover of the book Theorising Childhood by Daniela Sanchez, Patricia Melin
Cover of the book Tumor Microenvironment by Daniela Sanchez, Patricia Melin
Cover of the book Intelligent Decision Technology Support in Practice by Daniela Sanchez, Patricia Melin
Cover of the book Hybrid Soft Computing for Image Segmentation by Daniela Sanchez, Patricia Melin
Cover of the book Spaceplane HERMES by Daniela Sanchez, Patricia Melin
Cover of the book Calculus Problems by Daniela Sanchez, Patricia Melin
Cover of the book Essentials of Operative Cardiac Surgery by Daniela Sanchez, Patricia Melin
Cover of the book Breast Cancer Survivorship by Daniela Sanchez, Patricia Melin
Cover of the book Food Security and the Modernisation Pathway in China by Daniela Sanchez, Patricia Melin
Cover of the book Dynamical Systems in Population Biology by Daniela Sanchez, Patricia Melin
Cover of the book Congenital Cataract by Daniela Sanchez, Patricia Melin
Cover of the book Plato by Daniela Sanchez, Patricia Melin
Cover of the book Elizabeth of York and Her Six Daughters-in-Law by Daniela Sanchez, Patricia Melin
Cover of the book Handbook for Venous Thromboembolism by Daniela Sanchez, Patricia Melin
Cover of the book Planet Forex by Daniela Sanchez, Patricia Melin
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy