A dynamic compensating method for transducers is presented based on functional link artificial neural networks (FLANN) inverse system constructed by least squares support vector machine (LS-SVM).

 
  • 提出一種用最小二乘支持向量機(LS-SVM)構造函數鏈接型神經(jīng)網(wǎng)絡(luò )(FLANN)逆系統的傳感器動(dòng)態(tài)補償新方法。
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