Abstract
In order to solve the communication system among the noise interference problem, we use a new method, the neural network and adaptive fuzzy system to model the system. With a certain signal source and a random noise to the training, the simulation effectively deal with the noise reaching the purpose of no noise.
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References
Long, F., Yanda, L.: Neural network signal tackle. Electronic industry publishing press (October 1993)
Xiaoli, W., Zhehui, L.: MATLAB supplementary fuzzy system design. Xi’an electronic technology university publishing press (August 2002)
Shuang, C.: Neural network, fuzzy system and applied in control. Chinese technology university publishing press (May 2001)
Abdelnour, G.M.: Design of a fuzzy controller using input and output mapping factors. IEEE Trans. on Systems, Man and Cybemetics 27(5), 884–889 (1997)
Ying, H.: The Takagi-sugeno fuzzy controllers using the simplified linear control rules are nonlinear variable gain controllers. Automatica 34(2), 157–167 (1998)
Zhang, E., Shi, S., Weng, Z.: Comparative study of fuzzy control and PID control methods. Journal of Shanghai Jiaotong University 33(4), 501–503 (1999) (in Chinese)
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© 2011 Springer-Verlag Berlin Heidelberg
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Shui, H.Y., Chong, L. (2011). The Simulation of the Noise Eliminated Based on Artificial Neural Network. In: Lee, J. (eds) Advanced Electrical and Electronics Engineering. Lecture Notes in Electrical Engineering, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19712-3_23
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DOI: https://doi.org/10.1007/978-3-642-19712-3_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19711-6
Online ISBN: 978-3-642-19712-3
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