Year of Graduation
Development of Neural Network System for Correction Orientation Sensors Errors in Dynamic Object
Faculty of Applied Mathematics and Cybernetics
This graduation project deals with the creation of neural network for correction orientation sensors.The volume of this graduation project is 67 pages, including 20 drawings, the list of 18 references.The key words: neural network, GPS, backpropagation.The object of the investigation is GPS sensors.The subject of the graduation project is neural network for correction orientation sensors working with GPS.The graduation project consists of introduction, three chapters, two inferences on these written chapters and final conclusion.The project’s introduction part considers the actuality of the correction orientation sensors working with GPS using neural networks, it includes the tasks and the description the practical base of tasks’ solution.In the first chapter the main principles of neural network system work are described, the choice of typology and method of neural system teaching are founded.In the inference of this chapter there are the results of theoretical material searching.The second chapter focuses on the main principles of GPS sensor working, the cause of mistake appearing, the method of data receiving from working GPS sensor.In the inference of this chapter there are the results of theoretical material searching.The third part contains the list of software for neural network correction system realization and realization of this system. The final conclusion is devoted to the major inferences and results of this project.