Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications
Saved in:
Main Authors: | Castillo, Oscar, Melin, Patricia, Kacprzyk, Janusz |
---|---|
Format: | Book |
Language: | English |
Published: |
Springer International Publishing
2020
|
Subjects: | |
Online Access: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/93260 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institutions: | Thư viện Trường Đại học Đà Lạt |
---|
Similar Items
-
Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
by: Castillo, Oscar, et al.
Published: (2020) -
Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization
by: Melin, Patricia, et al.
Published: (2015) -
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
by: Amezcua, Jonathan, et al.
Published: (2020) -
Recent Advances in Intuitionistic Fuzzy Logic Systems
by: Melliani, Said, et al.
Published: (2019) -
Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction. 1st ed. 2018
by: Soto, Jesus, et al.
Published: (2020)