Pattern Classification Application Using BP Learning Algorithm

Pattern Classification Using Momentum BP Learning Algorithm - This implementation applies the momentum backpropagation algorithm for classifying the classic UCI Iris dataset, achieving fast processing speed and high accuracy. The iris.arff file is the original dataset file that can be opened using Weka data mining software. Iris.csv is the data file converted through Weka software for source code reading. To execute the algorithm, simply place the source file Iris_classify.m and Iris.csv in MATLAB's work directory and run directly.