Abstract
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.
Highlights
Bioinformatics [7] is a promising and novel research area in the 21st century
This paper focuses on IRIS plant classification using Neural Network
The purpose of this paper is to provide an overall understanding of Artificial Neural Networks (ANN) and its place in bioinformatics to a newcomer to the field
Summary
Bioinformatics [7] is a promising and novel research area in the 21st century. This field is data driven and aims at understanding of relationships and gaining knowledge in biology. Basic problems in bioinformatics like protein structure prediction, multiple alignments of sequences, phylogenic inferences, etc are inherently nondeterministic polynomial-time hard in nature. To solve these kinds of problems artificial intelligence (AI) methods offer a powerful and efficient approach. Researchers have used AI techniques like Artificial Neural Networks (ANN), Fuzzy Logic, Genetic Algorithms, and Support Vector Machines to solve problems in bioinformatics. The purpose of this paper is to provide an overall understanding of ANN and its place in bioinformatics to a newcomer to the field
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