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Development of Neural Network System for Correction Orientation Sensors Errors in Dynamic Object

Student: Gubanov Sergej

Supervisor: Anatoly Istratov

Faculty: Faculty of Applied Mathematics and Cybernetics

Educational Programme: Specialist

Year of Graduation: 2014

<p>This graduation project deals with the creation of neural network for correction orientation sensors.</p><p>The volume of this graduation project is 67 pages, including 20 drawings, the list of 18 references.</p><p>The key words: neural network, GPS, backpropagation.</p><p>The object of the investigation is GPS sensors.</p><p>The subject of the graduation project is neural network for correction orientation sensors working with GPS.</p><p>The graduation project consists of introduction, three chapters, two inferences on these written chapters and final conclusion.</p><p>The project&rsquo;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&rsquo; solution.</p><p>In the first chapter the main principles of neural network system work are described, the choice of typology and method of neural&nbsp; system&nbsp; teaching are founded.</p><p>In the inference of this chapter there are the results of theoretical material searching.</p><p>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.</p><p>In the inference of this chapter there are the results of theoretical material searching.</p><p>The third part contains the list of software for neural network correction system realization and realization of this system.</p><p>&nbsp;The final conclusion is devoted to the major inferences and results of this project.</p>

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