In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

An abstract implementation of a Multilayered Perceptron (Multilayered Feedforward Neural Network). Provides a well-documented API which exposes a wrapper around the whole process (all the way from ...

Activation functions for neural networks are an essential part of deep learning since they decide the accuracy and efficiency of the training model used to create or split a large-scale neural network ...

When it comes to teaching mathematics to students, identifying different types of functions can be a challenging task. Two of the most common types of functions encountered in high school math are ...

Managing the General Linear Hypothesis Model diagnostics: Perform diagnostics to ensure that the assumptions of the linear model are met before applying the GLH. Software tools: Use statistical ...

3 key takeaways The General Linear Model (GLM) extends multiple linear regression to include various types of linear relationships and can handle multiple predictors and response variables. GLM ...

1 Institute of Maternal and Child Health, Wuhan Maternal and Child Health Care Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 Department of ...

Abstract: A decentralized linear quadratic system with a major agent and a collection of minor agents is considered. The major agent affects the minor agents, but not vice versa. The state of the ...

The linear equation of two variables geometrically represents a straight line, and the system of equations containing two linear equations of two variables geometrically represents the positional ...