Abstract: Nonlinear models with a linear-in-coefficients property, i.e., the property that the model output is linear with respect to model coefficients, are highly valuable for behavioral modeling of ...

Abstract: Trainable threshold logic elements have been used in the adaptive pattern recognition field to design linear classifiers for patterns of binary variables. This paper shows how one of these ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Nonlinear metasurfaces have been extensively studied, offering new capabilities to ...

ABSTRACT: This paper presents a new dimension reduction strategy for medium and large-scale linear programming problems. The proposed method uses a subset of the original constraints and combines two ...

Linear and nonlinear functions are fundamental concepts in mathematics, and it is crucial for students to understand the differences between them. Identifying linear and nonlinear functions can be ...

Teaching students to identify linear and nonlinear functions is an essential aspect of any maths curriculum. This knowledge provides the foundation for understanding more advanced topics such as ...

Advancements in neuroscience research have led to significant progress in understanding the complex dynamics of the brain. However, the nonlinear properties of brain function still present a challenge ...

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