Title

人工神經網絡用於熒光分析法同時測定苯酚和間苯二酚的含量

Translated Titles

Application of Artificial Neural Network to Simultaneous Spectro-fluorimetric Determination of Phenol and Resorcinol

Authors

吳根華(Gen-Hua Wu);何池洋(Chi-Yang He);陳榮(Rong Chen)

Key Words

人工神經網絡 ; BP算法 ; 熒光分析 ; 苯酚 ; 間苯二酚 ; Artificial neural network ; Back-propagation algorithm ; Fluorimetry ; Phenol ; Resorcinol

PublicationName

光譜學與光譜分析

Volume or Term/Year and Month of Publication

22卷5期(2002 / 10 / 01)

Page #

813 - 815

Content Language

簡體中文

Chinese Abstract

本文應用人工神經網絡原理,以Levenberg-Marquardt BP算法對熒光光譜嚴重重疊的苯酚、間苯二酚的混合體系進行同時測定。在290~345nm的範圍內,以14個特徵波長處的熒光強度值作爲網絡特徵參數,並通過圴勻設計安排樣本進行網絡訓練和計算。網絡訓練8次即達到誤差精度要求(誤差平方和小於0.01)。苯酚、間苯二酚的平均回收率分別爲100.2%,99.99%,相對標凖偏差爲0.4%,1.3%。

English Abstract

By the means of artificial neural network and Levenberg-Marquardt back-propagation train algorithm, the two components of phenol, resorcinol were determined simultaneously, in which the fluorescence spectra overlapped. In 290-345 nm, the fluorescence intensity at 14 wavelengths were taken as character of artificial neural network, and samples were arranged by method of equality design. The mean recovery of phenol and resorcinol were 100.2%, 99.99% respectively. The RSD of the results were 0.4% and 1.3%.

Topic Category 基礎與應用科學 > 物理
基礎與應用科學 > 化學