Overview This project implements a Perceptron algorithm for binary classification tasks. The Perceptron is a type of linear classifier used for binary classification problems. This project ...

This project gives hands-on understanding of the Perceptron Learning Algorithm, especially for 3D data. It shows how the model converges, which class combinations are linearly separable, and how ...

The standard backpropagation-based multilayer perceptron training algorithm suffers from a slow asymptotic convergence rate. Sophisticated nonlinear least-squares and quasi-Newton optimization ...

Perceptron Training Algorithms designed using Discrete-Time Control Liapunov Functions Abstract: Perceptrons, proposed in the seminal paper McCulloch-Pitts of 1943, have remained of interest to neural ...

This paper presents the development of an artificial neural network (ANN) model based on the multi-layer perceptron (MLP) for analyzing internet traffic data over IP networks. We applied the ANN to ...

Based on the 4 × 4 sensing array and multilayer perceptron (MLP) algorithm model, a smart cushion was developed to recognize five types of sitting postures and supply timely reminders to sedentary ...