Multiple ensemble neural network models with fuzzy response aggregation for predicting COVID-19 time series: the case of Mexico
In this paper, a multiple ensemble neural network model with fuzzy response aggregation for
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …
the COVID-19 time series is presented. Ensemble neural networks are composed of a set of …
Forecasting of COVID-19 time series for countries in the world based on a hybrid approach combining the fractal dimension and fuzzy logic
O Castillo, P Melin - Chaos, Solitons & Fractals, 2020 - Elsevier
We describe in this paper a hybrid intelligent approach for forecasting COVID-19 time series
combining fractal theory and fuzzy logic. The mathematical concept of the fractal dimension …
combining fractal theory and fuzzy logic. The mathematical concept of the fractal dimension …
An interval type-3 fuzzy system and a new online fractional-order learning algorithm: theory and practice
A Mohammadzadeh, MH Sabzalian… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The main reason of the extensive usage of the fuzzy systems in many branches of science is
their approximation ability. In this paper, an interval type-3 fuzzy system (IT3FS) is proposed …
their approximation ability. In this paper, an interval type-3 fuzzy system (IT3FS) is proposed …
Fourier-based type-2 fuzzy neural network: Simple and effective for high dimensional problems
The main contribution of this study is to introduce a simple and effective deep learning
Fourier-based type-2 fuzzy neural network for high-dimensional problems. The rules are …
Fourier-based type-2 fuzzy neural network for high-dimensional problems. The rules are …
Nonstationary fuzzy neural network based on FCMnet clustering and a modified CG method with Armijo-type rule
Nonstationary fuzzy inference systems (NFISs) model the variation in opinions of individual
experts and expert groups. They have the capability similar to type-2 fuzzy systems in some …
experts and expert groups. They have the capability similar to type-2 fuzzy systems in some …
Input-to-state stabilization of interval type-2 fuzzy systems subject to cyberattacks: An observer-based adaptive sliding mode approach
This paper focuses on the sliding mode control (SMC) problem of interval type-2 (IT2) fuzzy
systems subject to the unmeasurable state and cyberattacks. A key issue is how to design a …
systems subject to the unmeasurable state and cyberattacks. A key issue is how to design a …
A fractional order general type-2 fuzzy PID controller design algorithm
JZ Shi - IEEE Access, 2020 - ieeexplore.ieee.org
Fractional order PID controller was received attentions in control problems for it had 2
freedom adjustable parameters. Practices had proved that better results could be obtained …
freedom adjustable parameters. Practices had proved that better results could be obtained …
Generalized type-2 fuzzy parameter adaptation in the marine predator algorithm for fuzzy controller parameterization in mobile robots
This article is oriented to the application of generalized type-2 fuzzy systems in the dynamic
adjustment of the parameters of a recent metaheuristic based on nature that follows the rules …
adjustment of the parameters of a recent metaheuristic based on nature that follows the rules …
Interval type-3 fuzzy control for automated tuning of image quality in televisions
In this article, an intelligent system utilizing type-3 fuzzy logic for automated image quality
tuning in televisions is presented. The tuning problem can be formulated as controlling the …
tuning in televisions is presented. The tuning problem can be formulated as controlling the …
Optimal design of a general type-2 fuzzy classifier for the pulse level and its hardware implementation
Nowadays, soft computing has been of great help in solving real-world problems and
satisfying the needs in our everyday life. We require more than ever the development and …
satisfying the needs in our everyday life. We require more than ever the development and …