Title :
Probabilistic neural network and its application
Author_Institution :
Henan Univ. of Urban Constr., Pingdingshan, China
Abstract :
Nuclear marine apparatus is a huge complicated system, most of which equipments are of nonlinearity, time varying, coupling and inexactness. Neuralnet is widely applied in nuclear fault diagnosis for its approaching any kinds of nonlinearity mapping. At present, BP neural net is used more widely, but the layers of the net and the neurones on each layer can not be delimited easily; such net may fall into the minimum point in the course of training. In this essay, PNN proves effective in diagnosing faults on nuclearmarine apparatus.
Keywords :
backpropagation; marine engineering; neural nets; nuclear engineering computing; probability; BP neural net; PNN; fault denoising; nonlinearity mapping; nuclear fault diagnosis; nuclear marine apparatus; probabilistic neural network; Accidents; Application software; Computer networks; Electronic mail; Fault diagnosis; Neural networks; Neurons; Power generation; Robust stability; Time varying systems; faultdiagnosis; nuclear apparatus; probability neuralnet(PNN);
Conference_Titel :
Computer Design and Applications (ICCDA), 2010 International Conference on
Conference_Location :
Qinhuangdao
Print_ISBN :
978-1-4244-7164-5
Electronic_ISBN :
978-1-4244-7164-5
DOI :
10.1109/ICCDA.2010.5541345
