Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early 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.

To address the issues of strong subjectivity and difficulty in feature extraction that are inherent to traditional frequency response analysis methods used for diagnosing transformer winding ...

ABSTRACT: Liver cancer is one of the most prevalent and lethal forms of cancer, making early detection crucial for effective treatment. This paper introduces a novel approach for automated liver tumor ...

[1_dataStructure_02_9093] (Date : 2024.10.30) / Source : https://www.acmicpc.net/problem/9093 [1_dataStructure_03_9012] (Date : 2024.10.30) / Source : https://www ...

Algorithms have taken on an almost mythical significance in the modern world. They determine what you see on social media and when browsing online, help form people’s belief systems, and impact the ...

Abstract: Perceptron model has been studied and extended from many different aspects deeply. The most typical one among them is multilayer perceptron, which can complete multi-classification or ...

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