Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

ABSTRACT: This paper proposes a hybrid AI framework that integrates technical indicators, fundamental data, and financial news sentiment into a stacked ensemble learning model. The ensemble combines ...

1 Electric Power Research Institute, State Grid Fujian Electric Power Co., Ltd., Fuzhou, China 2 College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China To address the ...

A Lightweigh, Pure Java Implementation of Rumelhart's Multilayer Perceptron. Compact (~50 KB JAR). It Supports 18 Activation Functions And Both Least Squares and Cross-Entropy Loss Functions For Model ...

Department of Civil and Environmental Engineering, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi Arabia Interdisciplinary Research Center for Membranes and Water Security, King ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

The SAMR framework of technology integration—substitution, augmentation, modification, redefinition—has been around since 2010. Other models have been developed in that time, but I find the SAMR model ...

ABSTRACT: Software defect prediction and cost estimation are critical challenges in software engineering, directly influencing software quality and project management efficiency. This study presents a ...