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Study on Signal Fitting Based on Simulated Annealing and Soft Function Basis

机译:基于模拟退火和软功能的信号拟合研究

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摘要

Based on simulated annealing algorithm (SAA) and soft function basis (SFB), algorithm of dealing with one dimensional signal fitting by means of neural network is presented. The key point is that we employ SAA to get new states with fixed probability in the process of signal fitting. The combination of SFB and SAA and the selection of soft SFB are analyzed in emphasis. Simulation shows that the algorithm works well for signal fitting. But there are undoubtedly some drawbacks existing in the present model. We will do further research in the further study.
机译:基于模拟退火算法(SAA)和软功能基础(SFB),提出了通过神经网络处理的一种尺寸信号拟合的算法。关键是,我们雇用SAA以在信号配件过程中获得具有固定概率的新状态。分析了SFB和SAA的组合以及软SFB的选择。仿真显示该算法适用于信号拟合。但毫无疑问,目前模型中存在一些缺点。我们将在进一步的研究中进行进一步的研究。

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