Prediction of Frequency Parameters of Short-Wave Communication Based on ANFIS Evolved

Song Heng; Zuo Ji-zhang; Zhou Hong-jiang

Volume 28 Issue 7

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Article Navigation > Journal of Electronics & Information Technology > 2006 > 28(7): 1282-1286

Song Heng, Zuo Ji-zhang, Zhou Hong-jiang. Prediction of Frequency Parameters of Short-Wave Communication Based on ANFIS Evolved[J]. Journal of Electronics & Information Technology, 2006, 28(7): 1282-1286.

Citation:

Song Heng, Zuo Ji-zhang, Zhou Hong-jiang. Prediction of Frequency Parameters of Short-Wave Communication Based on ANFIS Evolved[J]. Journal of Electronics & Information Technology, 2006, 28(7): 1282-1286.

Citation:

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Prediction of Frequency Parameters of Short-Wave Communication Based on ANFIS Evolved

Received Date: 2004-11-15
Rev Recd Date: 2005-03-21
Publish Date: 2006-07-19

Abstract

Abstract

This paper presents a prediction model of frequency parameters of short-wave communication based on Adaptive Neural Fuzzy Inference System(ANFIS). The system parameters of the model are adjusted by delaminating-adaptation genetic algorithm. The model is simulated and compared with other nonlinear methods. The model shows some standout excellences, such as higher precision of prediction, faster speed of convergence, better across-the-board astringency and intelligence of adjusting system parameters.

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References(1)

References

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