| 书目名称 | Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation |
| 编辑 | Daniela Sanchez,Patricia Melin |
| 视频video | |
| 概述 | Introduces a new model of a modular neural network.based on a granular approach.Serves as reference.book for scientists and engineers interested in applying soft computing.Presents recent research.Inc |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | .In this book, anew method for hybrid intelligent systems is proposed. The proposed method isbased on a granular computing approach applied in two levels. The techniquesused and combined in the proposed method are modular neural networks (MNNs)with a Granular Computing (GrC) approach, thus resulting in a new concept ofMNNs; modular granular neural networks (MGNNs). In addition fuzzy logic (FL)and hierarchical genetic algorithms (HGAs) are techniques used in this researchwork to improve results. These techniques are chosen because in other workshave demonstrated to be a good option, and in the case of MNNs and HGAs, thesetechniques allow to improve the results obtained than with their conventionalversions; respectively artificial neural networks and genetic algorithms.. |
| 出版日期 | Book 2016 |
| 关键词 | Computational Intelligence; Granular Neural Networks; Fuzzy Aggregation; Granular Computing; Hierarchica |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-28862-8 |
| isbn_softcover | 978-3-319-28861-1 |
| isbn_ebook | 978-3-319-28862-8Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2016 |
发表于 2025-3-21 18:46:20
