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All of these problems are multidimensional and nonlinear.
Unlike logistic regression, MFNN has the ability to model the multidimensional and nonlinear relationships between the variables as found in complex medical applications.
They may be better suited than other modeling systems to predict outcomes when the relationships between the variables are complex, multidimensional, and nonlinear as found in complex biological systems.
ANNs are flexible nonlinear systems, and therefore they may be better suited than LR-based models to predict outcomes when the relationships between the variables are complex, multidimensional, and nonlinear, such as those encountered in complex biological systems [ 7].
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In this paper, a hybrid optimization technique; namely culture-based genetic algorithm is proposed and tested against three multidimensional and highly nonlinear real world applications.
The mapping formalized in Eq. (3) is hence multidimensional and potentially nonlinear.
The solution of these types of problems is usually very difficult due to their highly nonlinear, multidimensional and multimodal nature.
Namely, Russian scientist A.A. Kolesnikov developed a novel synergetic approach based on the ideas of modern mathematics, cybernetics, and synergetics to the synthesis of control systems for nonlinear, multidimensional and multilinked dynamic systems of various natures.
The benefits of the TPI method over conventional methods are illustrated through simulations of linear and nonlinear drift processes in one-dimensional and multidimensional state spaces.
In this work, the metaheuristic global search process of GSA efficiently explores and intensely exploits the nonlinear, non-uniform, multidimensional, and multimodal FOLBF design problem error landscape.
In this study, the multidimensional copulas function was applied to construct a nonlinear multivariate drought index (NMDI) to solve the complicated and nonlinear relationship due to its dependence structure and flexibility.
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