基于進化ANFIS的短波通信頻率參數(shù)預(yù)測
Prediction of Frequency Parameters of Short-Wave Communication Based on ANFIS Evolved
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摘要: 該文提出并設(shè)計了一種利用神經(jīng)模糊推理系統(tǒng)建模的短波通信頻率參數(shù)預(yù)測模型。該模型以模糊系統(tǒng)為平臺，利用自學(xué)習(xí)算法訓(xùn)練建立推理規(guī)則，采用并行自適應(yīng)遺傳算法進化調(diào)整系統(tǒng)內(nèi)部參數(shù)。通過ff0F2實測數(shù)據(jù)仿真試驗，并與神經(jīng)網(wǎng)絡(luò)方法、混沌和神經(jīng)網(wǎng)絡(luò)相結(jié)合方法進行比較，結(jié)果證明該模型具有預(yù)測精度高、收斂速度快、全局收斂性好、內(nèi)部參數(shù)調(diào)整智能化等突出優(yōu)點。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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簡相超，鄭君里. 混沌和神經(jīng)網(wǎng)絡(luò)相結(jié)合預(yù)測短波通信頻率參數(shù)[J]. 清華大學(xué)學(xué)報，2001，41(1): 16－19.[2]曾文，張訓(xùn)械等. 利用人工神經(jīng)網(wǎng)絡(luò)建立我國南海地區(qū)電離層模式[J]. 地球物理學(xué)報，1999，45(5): 582－589.[3]Takens F. Detecting strange attractors in turbulence [A]. Dynamical Systems and Turbulence, Lecture Notes in Mathematics[C]. Berlin: Springer-Verlag,1981, Vol.898: 366－ 381.[4]Casdagli M. Nonlinear prediction of chaotic time series [J].Physica D.1989, 35:335-356[5]Takens F. On the numerical determination of the dimension of an attractor [A]. Dynamical Systems and Turbulence, Lecture Notes in Mathematics[C]. Berlin: Springer-Verlag, 1981, Vol.898: 230－241.[6]Abarbanel D I. Analysis of Observed Chaotic Data [M]. NewYork: Springer-Verlag,1996:75－82.[7]Zadeh L A. Fuzzy Sets [J].Information and Control.1965, 8:338-353[8]Srinivas M, Patnaik L M. Adaptive probabilities of crossover and mutations in gas [J]. IEEE Trans. on SMC, 1994, 24(4):656－667.[9]閻平凡等. 人工神經(jīng)網(wǎng)絡(luò)與模擬進化計算[M]. 北京:清華大學(xué)出版社, 2000: 301－302.王小平等. 遺傳算法[M]. 西安:西安交通大學(xué)出版社, 2000: 28 －38.[10]陳國良等. 遺傳算法及應(yīng)用[M]. 北京:人民郵電出版社,1996:75－88. -
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