Studies on Artificial Neural Networks Used in A.C.Oscillographic Chronopotentiometry

Abstract

Abstract: Anew calibration method of A.C.oscillographic chronopotentiometry with artificial neural networks has been developed, and its feasibility and adaptability were discussed.This method was applied to the determination of Pb²⁺in excess of T1⁺, and Cd²⁺in excess of In³⁺system.The maximum relative error of Pb²⁺and Cd²⁺was not more than 5%.This study indicates that artificial neural networks may provide a new approach to determine the content for multi-component with A.C.oscillographic chronopotentiometry.

Key words: A.C.oscillographic chronopotentiometry, Artificial neural networks, Lead, Cadmium

CLC Number:

O657.1

TrendMD:

YU Ke-Qi, DONG She-Ying, TANG Hong-Sheng, GAO Hong . Studies on Artificial Neural Networks Used in A.C.Oscillographic Chronopotentiometry[J]. Chem. J. Chinese Universities, 1999, 20(9): 1367.

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Studies on Artificial Neural Networks Used in A.C.Oscillographic Chronopotentiometry

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