Therefore, the MLP can be understood as a multi-layer processing model ... and the results indicated the existence of multicollinearity between them. Therefore, the LASSO regression algorithm was used ...

Regression algorithms are one of the most common and basic types of machine learning algorithms for market forecasting. They aim to find a mathematical function that can describe the relationship ...

The sample code below shows how to use the MLP regression to predict the (-1, +1) numerical output of the heart-scale sample from libsvm. The training data is loaded from a data frame connected to the ...

This paper is a study for new constructive training algorithm for Multi Layer Perceptron (MLP) which is applied to face recognition application. An incremental training procedure was employed where ...

In this article, a simple yet effective optimization algorithm for computationally expensive optimization problems is proposed, which is called the neighborhood regression optimization algorithm. For ...