Implementation of Artificial Neural Network Classification for Iris Dataset

Implementing iris dataset classification using a manually coded BP neural network in MATLAB environment, featuring basic backpropagation implementation without utilizing built-in functions.

Classification using Backpropagation Neural Network

Implementation of classification using a Backpropagation Neural Network with Iris dataset, including training process and classification results. Contains comprehensive code annotations and algorithm explanations.

MATLAB Implementation of Backpropagation Algorithm for Iris Flower Classification

A MATLAB program implementing backpropagation neural network algorithm for classifying iris flower dataset with detailed code architecture and training methodology