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| Prediction of Frequency Parameters of Short-Wave Communication Based on ANFIS Evolved |
| Song Heng①; Zuo Ji-zhang①; Zhou Hong-jiang② |
①The Engineering Institute, Air Force Engineering University, Xi’an 710038, China;
②Air Force Equipment software Testing Center, Beijing 100076, China |
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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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Received: 15 November 2004
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2006, Vol. 28 
