Loading…
Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications
This book comprises papers on diverse aspects of fuzzy logic, neural networks, and nature-inspired optimization meta-heuristics and their application in various areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex...
Corporate Author: | SpringerLink (Online service) |
---|---|
Other Authors: | Castillo, Oscar (Editor), Melin, Patricia (Editor), Kacprzyk, Janusz (Editor) |
Format: | e-Book |
Language: | English |
Published: |
Cham :
Springer International Publishing :
2018.
Imprint: Springer, |
Edition: | 1st ed. 2018. |
Series: | Studies in Computational Intelligence,
749 |
Subjects: | |
Online Access: | Full-text access |
Similar Items
-
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
by: Amezcua, Jonathan, et al.
Published: (Springer International Publishing : Imprint: Springer, 2018.) -
Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
by: Olivas, Frumen, et al.
Published: (Springer International Publishing : Imprint: Springer, 2018.) -
Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction
by: Soto, Jesus, et al.
Published: (Springer International Publishing : Imprint: Springer, 2018.) -
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
by: Gaxiola, Fernando, et al.
Published: (Springer International Publishing : Imprint: Springer, 2016.) -
Fuzzy Logic in Intelligent System Design Theory and Applications /
Published: (Springer International Publishing : Imprint: Springer, 2018.)