TY - JOUR
T1 - The learning machine in quantitative chemical analysis : Part I. Anodic Stripping Voltammetry of Cadmium, Lead and Thallium
AU - Bos, M.
AU - Jasink, G.
PY - 1978
Y1 - 1978
N2 - The linear learning machine method was applied to the determination of cadmium, lead and thallium down to 10-8 M by anodic stripping voltammetry at a hanging mercury drop electrode. With a total of three trained multicategory classifiers, concentrations of Cd, Pb and Tl could be predicted with an accuracy of ±10%. The classifiers were trained with the use of least-squares minimization. Numerical problems in the data matrix inversion were overcome by using singular value decomposition.
AB - The linear learning machine method was applied to the determination of cadmium, lead and thallium down to 10-8 M by anodic stripping voltammetry at a hanging mercury drop electrode. With a total of three trained multicategory classifiers, concentrations of Cd, Pb and Tl could be predicted with an accuracy of ±10%. The classifiers were trained with the use of least-squares minimization. Numerical problems in the data matrix inversion were overcome by using singular value decomposition.
KW - IR-68431
U2 - 10.1016/S0003-2670(01)84035-6
DO - 10.1016/S0003-2670(01)84035-6
M3 - Article
VL - 103
SP - 151
EP - 165
JO - Analytica chimica acta
JF - Analytica chimica acta
SN - 0003-2670
IS - 2
ER -