Fundamental Neural Network using Matlab

This project demonstates the use of a Perceptron to predict the class of an iris flower give its sepal and petal length and width.
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Updated 23 Dec 2018

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A simple Function called Perceptron has been written from scratches. The iris.xls file is shipped with the project and must be in the sample folder as the matlab file 'Perceptron.m'. The sigmoid function has been chosen as the activation function and an approriate threshold has been selected. The error graphs and classification graphs would be seen when the Perceptron is run.

Cite As

Chinedu Olebu (2026). Fundamental Neural Network using Matlab (https://www.mathworks.com/matlabcentral/fileexchange/69806-fundamental-neural-network-using-matlab), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Categories
Find more on Deep Learning Toolbox in Help Center and MATLAB Answers
Version Published Release Notes
1.0.0