ANALYSIS OF THE MEDICINAL LEAVES BY USING IMAGE PROCESSING TECHNIQUES AND ANN

Abstract

Neural Network has emerged over the years and has made remarkable contribution to the advancement of various fields of endeavor. The purpose of this work is to examine neural networks and their emerging applications in the field of engineering, focusing more on controls. An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the token, process information. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons. This is true for ANNs as well. Neural networks perform a variety tasks, such as prediction and function approximation, pattern classification, they are also capable of complex data and signal classification task and many other using.