Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

This repository contains a basic MLP implemented from scratch to demonstrate its capabilities in comparison to other machine learning methods across different problems of varying complexity. - ABr- ...

In this digital era, novel artificial intelligence (AI) approaches, especially machine learning (ML) techniques ... in predicting the FS of UHPC precisely than the SVM and MLP algorithms, as evident ...

Multilayer Perceptron (MLP) is a combination of multiple perceptron ... The gradient descent algorithm's only relevant parameters, such as learning rate, are used in the process.

seven machine learning algorithms were employed: logistic regression, KNN, artificial neural network/multiparametric linear programming (ANN/MLP), decision tree, random forest, gradient boosting ...

In this study, we propose a novel stacking ensemble learning model for heterogeneous soft sensors, utilizing multi-layer perceptron (MLP ... of various machine learning methods. Second, the ...

In this application note, we present Cluster-MLP, an on-the-fly active learning genetic algorithm framework that employs the Flare++ machine learning potential (MLP) for accelerating the GA search for ...