Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

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.

1 Department of Mathematics and Computer Science, Islamic Azad University, Science and Research Branch, Tehran, Iran. 2 Department of Mathematics and Statistics, Loyola University Chicago, Chicago, IL ...

Abstract: A modified Rosenblatt's perceptron algorithm (1959) and Novikoff's theorem (1962) for binary classification problem is presented in this paper. For a linearly separable training set, the ...

In the background of the information age, the importance of data resources can be imagined, and the importance of the use of data resources means—data mining has also emerged. In the current situation ...

I implemented the gradient descent algorithm for the perceptron, which is designed for NOR binary logic function and uses it to update its weights.

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The Perceptron algorithm elegantly solves binary classification problems that have a margin between positive and negative examples. Isotonic regression (fitting an arbitrary increasing function in one ...