This paper presents a new design procedure of an adaptive fuzzy c-regression model algorithm. The latter uses a fixed parameter in its objective function.
In this study, the application of Adaptive Neuro-Fuzzy Inference System architecture to build prediction models that represent the pH neutralization process ...
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This paper studies the problem of the parameter identification based on fuzzy c-regression models for nonlinear systems and utilizes a generalized objective ...
Considering the nonlinearity and gradient parameters of pH neutralization process, this paper concerned on the modeling and identification of pH neutralization ...
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A.J. Telmoudi, M. Soltani, A. Chaari, Identification of pH neutralization process based on a modified adaptive fuzzy c-regression algorithm, in: 2018 7th ...
This paper presents a new method for fuzzy c-regression models clustering algorithm. The main motivation for this work is to develop an identification ...
This paper is concerned with the modeling and identification of pH-processes via fuzzy-neural approaches. A simplified fuzzy model acting as an approximate ...
In this paper, we introduce an approach for extracting the main linear trends of a nonlinear time-varying process. In this approach, originally, an adaptive ...
Fuzzy inverse modeling structure. In this paper, FCRM clustering algorithm is used for fuzzy inverse identification and the procedure is as follows: Step 1 ...
Control of pH in acidic wastewater using the adaptive fuzzy controller: setpoint tracking problem. Top: Reference trajectory and the controlled outputs of ...