bożena kunka tutor : dr inż.. jan matuszewski

Download Bożena Kunka Tutor :  dr inż.. Jan Matuszewski

If you can't read please download the document

Upload: azura

Post on 09-Jan-2016

44 views

Category:

Documents


2 download

DESCRIPTION

Military University of Technology Faculty of Electronic Institute of Telecommunication. The Application of Neural Networks in Radar Signals Recognition. Bożena Kunka Tutor : dr inż.. Jan Matuszewski. N eural N etworks - application. - PowerPoint PPT Presentation

TRANSCRIPT

  • Boena Kunka Tutor: dr in.. Jan Matuszewski The Application of Neural Networks in Radar Signals Recognition

    Tytu

  • Neural Networks - application Construction of a arificial neuron bases on biological nerve cell*/12The Application of Neural Networks in Radar Signals RecognitionIssues of recognition are currently the most often used of neural networks application

    1gApplying the neural networks in radioelectronics gives enormous possibilities of real-time information processing

    Tytu

  • McCulloch-Pitts Neuron ModelThe Application of Neural Networks in Radar Signals Recognition*/12

    Tytu

    f

    w1

    wn

    x1

    xn

    e

    y

  • Neuron activation functions linear functionsigmoidal functionstep function*/12The Application of Neural Networks in Radar Signals Recognition

    Tytu

  • Multilayer Perceptron */12The Application of Neural Networks in Radar Signals Recognition

    Tytu

  • Learning the Neural Networks*/12The Application of Neural Networks in Radar Signals Recognitionwith a teacherwithout a teacher basing on the learning set the network learns the proper operation applied when the network responses are not known

    Tytu

  • Minimum Distance Method Of Signal Recognition */12The Application of Neural Networks in Radar Signals Recognition- radiation source class- measure vector

    Tytu

    x1

    x2

  • Neural Network and Classic Method Of Signal Recognition*/12The Application of Neural Networks in Radar Signals Recognitionthe quantity of klass: L=10the quantity of parametres: L=10standard deviation:The quantity of realizations for each class: n=100NEURAL NETWORK: - THREE-LAYER PERCEPTRON- 10 SUBNETWORKSCLASSIC METHOD: - MINIMUM DISTANCE CLASSIFIER

    Tytu

  • Number Of Correct Classifications N.N. Neural NetworkST.R. Minimum Distance Method*/12The Application of Neural Networks in Radar Signals Recognition

    Tytu

  • Probability Of Correct Classification*/12The Application of Neural Networks in Radar Signals RecognitionNEURAL NETWORKCLASSIC METHOD

    Tytu

  • SummaryUse of neural networks instead of classic method for radar signals recognition is more effectiveModular network structure makes its development quick and easyApplication of the neural networks - promising*/12The Application of Neural Networks in Radar Signals Recognition

    Tytu

  • */12The Application of Neural Networks in Radar Signals Recognition

    Tytu