Classification of sonar images using back propagation neural network

Abstract

Discovering our world has gained an importance. Oceans are the biggest unknowns of our world. There is a history and treasure lying at the sea floor. In every part of the world, scientific developments have been performed to get more information about them. In oceanic engineering, one of the most important things is experience. Sonar image classification system (SICS) had been developed to get a human experience and vision. Neural networks have an important part in the modeling of human decision-making processes to computers. They have been applied in many applications such as automotive, aerospace, medical robotics... etc. Because of its success in classification of images, back propagation learning algorithm has been applied to SICS