[图书][B] Accuracy improvements to find the balance interpretability-accuracy in linguistic fuzzy modeling: an overview
Abstract System modeling with fuzzy rule-based systems (FRBSs), ie fuzzy modeling (FM),
usually comes with two contradictory requirements in the obtained model: the interpretability …
usually comes with two contradictory requirements in the obtained model: the interpretability …
Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview
Abstract System modeling with fuzzy rule-based systems (FRBSs), ie fuzzy modeling (FM),
usually comes with two contradictory requirements in the obtained model: the interpretability …
usually comes with two contradictory requirements in the obtained model: the interpretability …
Perspectives of fuzzy systems and control
Although fuzzy control was initially introduced as a model-free control design method based
on the knowledge of a human operator, current research is almost exclusively devoted to …
on the knowledge of a human operator, current research is almost exclusively devoted to …
Hybridization of intelligent techniques and ARIMA models for time series prediction
Traditionally, the autoregressive moving average (ARMA) model has been one of the most
widely used linear models in time series prediction. Recent research activities in forecasting …
widely used linear models in time series prediction. Recent research activities in forecasting …
Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation
This paper presents a multiobjective evolutionary algorithm to optimize radial basis function
neural networks (RBFNNs) in order to approach target functions from a set of input-output …
neural networks (RBFNNs) in order to approach target functions from a set of input-output …
Review and investigation of simplified rules fuzzy logic speed controller of high performance induction motor drives
The use of Fuzzy Logic Controller (FLC) as a speed controller for Induction Motor (IM) drives
is garnering strong researchers' interest since it has proven to achieve superior performance …
is garnering strong researchers' interest since it has proven to achieve superior performance …
Term selection for a class of separable nonlinear models
In this paper, we consider the term selection problem for a class of separable nonlinear
models. The strategy is a two-step process in which the nonlinear parameters of the model …
models. The strategy is a two-step process in which the nonlinear parameters of the model …
A new clustering technique for function approximation
J González, H Rojas, J Ortega… - IEEE Transactions on …, 2002 - ieeexplore.ieee.org
To date, clustering techniques have always been oriented to solve classification and pattern
recognition problems. However, some authors have applied them unchanged to construct …
recognition problems. However, some authors have applied them unchanged to construct …
Toward a fuzzy logic system based on general forms of interval type-2 fuzzy sets
Recent years have witnessed a widespread in the use of interval type-2 fuzzy logic systems
(IT2 FLSs) in real-world applications. It has been shown recently that interval type-2 fuzzy …
(IT2 FLSs) in real-world applications. It has been shown recently that interval type-2 fuzzy …
An integrated mechanism for feature selection and fuzzy rule extraction for classification
In our view, the most important characteristic of a fuzzy rule-based system is its readability,
which is seriously affected by, among other things, the number of features used to design the …
which is seriously affected by, among other things, the number of features used to design the …