Based upon this subsection function fitting,artificial neural network algorithm and other methods are proposed to raise fitting accuracy in order to reduce error to obtain correct test results.
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- 比較研究了混凝土無(wú)損檢測中的三種常用測強曲線(xiàn)的擬合精度,在此基礎上,提出了分段函數擬合,人工神經(jīng)網(wǎng)絡(luò )算法等提高曲線(xiàn)擬合精度的一些方法和措施,以得到正確的測試結果。
