An Improve Information Fusion Algorithm Based on BP Neural Network and D-S Evidence Theory

BP neural network and DS evidence theory have gotten a wide range of applications in the field of information fusion. According to the BP neural network have low recognition rate and poor network stability, what is more, it is difficult to get D-S evidence theory of basic probability distribution fu...

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Bibliographische Detailangaben

Hauptverfasser:	Chen Yi, Huang Qing, Chen Yanlan
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Algorithm design and analysis Bp Neural Network Evidence Theory Feature extraction Gaussian noise Information Fusion Multi-sesor Neural networks Signal processing algorithms Simulation Vectors
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