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Design of a supervisory predictive controller based on fuzzy models
(IEEE, 2001)
In this paper, a supervisory optimal control problem is presented. Fuzzy modelling is used to represent the non-linearity of the process and two alternative fuzzy predictors are described in order to solve the optimisation ...
Constrained generalized predictive control using relaxation with quadratic penalization
(IEEE, 2001)
In this paper an iterative algorithm will be derived to find a numerical solution for the generalized predictive control of linear systems with constraints on controlled and manipulated variables. The algorithm uses the ...
Optimal selection of factors using Genetic Algorithms and Neural Networks for the prediction of students' academic
(Institute of Electrical and Electronics Engineers Inc., 2016)
In this research, we propose to use a Genetic Algorithm with an Artificial Neural Network as fitness function in order to solve one of the most important problems in predicting academic success in higher education environments. ...
Predictive modeling for presumptive diagnosis of type 2 diabetes mellitus based on symptomatic analysis
(Institute of Electrical and Electronics Engineers Inc., 2017-08)
The purpose of using Predictive Modeling for presumptive diagnosis of Type 2 Diabetes Mellitus based on symptomatic analysis is the optimization of the diagnosis phase of the disease through the process of evaluating ...
Protein Structure Prediction with Parallel Algorithms Orthogonal to Parallel Platforms
(Revista Eletrônica de Iniciação Científica em Computação, 2019)
A Fukui function-guided genetic algorithm. Assessment on structural prediction of Sin (n = 12–20) clusters
(John Wiley and Sons Inc., 2017)
A longitudinal approach for understanding algorithm use
(WILEY, 2022)
Research suggests that algorithms-based on artificial intelligence or linear regression models-make better predictions than humans in a wide range of domains. Several studies have examined the degree to which people use ...
Evaluation of type-2 diabetes progress in adult patients by using predictive algorithms
(Institute of Electrical and Electronics Engineers Inc., 2016-10)
We used computational simulation inside a teleconsult scheme to predict the levels of diabetes progress of a sample of type-2 diabetes adult patients. Concretely, we have used computational algorithms to estimate the ...
A Levinson algorithm based on an isometric transformation of Durbin`s
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2008)
Starting from the Durbin algorithm in polynomial space with an inner product defined by the signal autocorrelation matrix, an isometric transformation is defined that maps this vector space into another one where the ...
Crystal structure prediction of flexible molecules using parallel genetic algorithms with a standard force field
(John Wiley & Sons Inc, 2009-10)
This article describes the application of our distributed computing framework for crystal structure prediction (CSP) the modified genetic algorithms for crystal and cluster prediction (MGAC), to predict the crystal structure ...