文章基本信息

标题：An Approach for IRIS Plant Classification Using Neural Network
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作者：Madhusmita Swain ; Sanjit Kumar Dash ; Sweta Dash 等
期刊名称：International Journal on Soft Computing
电子版ISSN：2229-7103
出版年度：2012
卷号：3
期号：1
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Classification is a machine learning technique used to predict group membership for data instances. To simplify the problem of classification neural networks are being introduced. This paper focuses on IRIS plant classification using Neural Network. The problem concerns the identification of IRIS plant species on the basis of plant attribute measurements. Classification of IRIS data set would be discovering patterns from examining petal and sepal size of the IRIS plant and how the prediction was made from analyzing the pattern to form the class of IRIS plant. By using this pattern and classification, in future upcoming years the unknown data can be predicted more precisely. Artificial neural networks have been successfully applied to problems in pattern classification, function approximations, optimization, and associative memories. In this work, Multilayer feed- forward networks are trained using back propagation learning algorithm
关键词：IRIS dataset; artificial neural networks; Back-propagation algorithm