Prediction of giant magneto-impedance effect in amorphous glass-coated micro-wires using artificial neural network (Q394592)

The author claims to use a self-organizing feature map neural network (SOFM) to model GMI effects, but actually, she presents results from the implementation of a totally different neural network architecture, the multilayer perceptron. Data are available from experiments, three inputs to the network: \(H\) -- the magnetizing field, \(l\) -- wire length, \(f\) -- frequency and one output neuron. Reviewer's remark: It seems that the author uses some available artificial neural network-software package; it might have been profitable if she had checked which kind of architecture she is going to use.