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

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 ...

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: Egg loss is one of the major problems in the egg hatching industry. This study aims to support farmers in optimizing their egg hatch through the development of a prediction model. This is to ...

In a landmark move for the decentralized AI ecosystem, BlockMesh has officially merged into Perceptron Network, uniting two fast-growing platforms under a single mission – to build the world’s first ...

A Perceptron is a basic learning algorithm invented in 1959 by Frank Rosenblatt. It is meant to mimic the working logic of a biological neuron. The human brain is basically a collection of many ...

Ask the publishers to restore access to 500,000+ books. An icon used to represent a menu that can be toggled by interacting with this icon. A line drawing of the Internet Archive headquarters building ...

Implementations of perceptron algorithm with 2 hidden layers, learning vector quantization, k-means clustering algorithm, for the course Computational Intelligence @uoi ...