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 ...

Marshall, a Mississippi native, is a dedicated IT and cybersecurity expert with over a decade of experience. Along with Techopedia, his articles can be found… This mapping is done through kernel ...

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 ...

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 ...

1 Department of Mathematics, Faculty of Science, Al Balqa Applied University, Salt, Jordan 2 Department of Mathematics, Faculty of Science, Zarqa University, Zarqa, Jordan This article circumvents the ...

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 ...

Hello, when attempting to generate a piecewise membership using the package, it is not clear to me how the piecemf function is working. After having attempted to reverse engineer the source code, it ...