CLASSIFICATION PROBLEMS USING INTELLIGENT ALGORITHMS

Abstract

quotMost of the real world problems in engineering, medicine, industry, science and business involves data classification task. Data classification takes labeled data samples and generates a classifier model that classifies new data samples into different predefined groups or classes. This thesis explores the application of Computational Intelligent Techniques like Artificial Neural Network (ANN) and Fuzzy Logic (FL) for solving data classification problems. newline newlineArtificial Neural Network has emerged as an important tool for solving data classification problem. Artificial Neural Network is an information-processing paradigm inspired by the way the brain process information. It is composed of a large number of highly interconnected processing elements (neurons) working in parallel to solve a specific problem. Due to their powerful non-linear function approximation and adaptive learning capabilities ANN can make accurate data classification. newline newlineMany of the data classification problems in engineering involve too many input variables. To apply neural network approach for such large scale problems, some dimensionality reduction is mandatory. Feature Extraction and Feature Selection are the two approaches for dimensionality reduction. This thesis proposes mutual information based feature selection technique for input dimensionality reduction. With dimensionality reduction, the ANN classifier is expected to take less time for training and produce accurate data classification. newlinequot newline newline