RULE LEARNING WITH MACHINE LEARNING ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS

Abstract

Machine learning, a branch of artificial intelligence, is a scientific discipline that is concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases. Artificial neural networks are composed of interconnecting artificial neurons (programming constructs that mimic the properties of biological neurons). Artificial neural networks may either be used to gain an understanding of biological neural networks, or for solving artificial intelligence problems without necessarily creating a model of a real biological system. In this paper, we made analysis with machine learning algorithms and artificial neural networks classification from instances in data set. Furthermore, machine learning algorithms and artificial neural networks with constituted rules.