title: [The pattern of Levenberg-Marquardt backpropagation algorithm for recognition of coronary heart disease patients based on microamount of elements in human blood].
abstract: The contents of four microamount elements (Sr, Cu, Mg and Zn) in human blood were chosen as recognition index of coronary heart disease patients and normal persons. The recognition pattern of Levenberg-Marquardt Backpropagation algorithm has been established. The first-layer transfer function is Tansig function; the second-layer transfer function is linear Purelin function. There are four input vectors, eight neurons on hidden layer, and one neuron of output vector. Four samples were chosen as a teat group and 22 samples as a training group. The weights and biases of the neural network were given. The given data could be completely identified, which predicted that this method could be a supplementary tool to diagnose this kind of disease with the determined contents of microamount of elements in human blood.
authors.affiliation: Chemistry Department of Anqing Normal College, Anqing 246011, China.
authors.forename: Xiao-ming
authors.initials: XM
authors.lastname: Kai
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001774:Blood Chemical Analysis / Q000379:methods*; D003300:Copper / Q000097:blood*; D003327:Coronary Disease / Q000097:blood* / Q000175:diagnosis*; D006801:Humans; D008274:Magnesium / Q000097:blood*; D010363:Pattern Recognition, Automated; D013324:Strontium / Q000097:blood*; D015032:Zinc / Q000097:blood*
chemical_list: D003300:Copper; D008274:Magnesium; D015032:Zinc; D013324:Strontium