Loading…
Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation
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 result...
Main Authors: | Sanchez, Daniela (Author), Melin, Patricia (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | e-Book |
Language: | English |
Published: |
Cham :
Springer International Publishing :
2016.
Imprint: Springer, |
Edition: | 1st ed. 2016. |
Series: | SpringerBriefs in Computational Intelligence,
|
Subjects: | |
Online Access: | Full-text access |
Similar Items
-
Evolutionary Algorithms and Neural Networks Theory and Applications /
by: Mirjalili, Seyedali
Published: (Springer International Publishing : Imprint: Springer, 2019.) -
Issues in the Use of Neural Networks in Information Retrieval
by: Iatan, Iuliana F.
Published: (Springer International Publishing : Imprint: Springer, 2017.) -
Uncertain Rule-Based Fuzzy Systems Introduction and New Directions, 2nd Edition /
by: Mendel, Jerry M.
Published: (Springer International Publishing : Imprint: Springer, 2017.) -
Competition-Based Neural Networks with Robotic Applications
by: Li, Shuai, et al.
Published: (Springer Nature Singapore : Imprint: Springer, 2018.) -
Anticipation Across Disciplines
Published: (Springer International Publishing : Imprint: Springer, 2016.)