Neural Network Based Classifier (Pattern recognition) for Classification of Iris Data Set
نویسندگان
چکیده
In this paper we are working on the Neural Network based classifier that solves the classification problem. The paper describes the multilayer perception approach to describe the neural network architecture. For this classifier we use the Fisher’s Iris Database (Fisher, 1936) available in MATLAB and on the Internet. This database is the preprocessed and is the best database in the pattern recognition literature. It contains 3 different classes of 50 objects each, where each class is an iris plant. Classes are named as Iris Setosa, Iris Versicolour, Iris Virginica. We finally describe the result of this classifier. Keywords—Artificial Neural Network, Pattern recognition, Multilayer Perceptron, IRIS Database, Confusion Matrix.
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