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The neural network approach is applied to search for the Z'-boson within theLEP2 data set for e+ e- -> e+ e- scattering process. In the course of theanalysis, the data set is reduced by 20 percent. The axial-vector and vectorcouplings of the Z' are estimated at 95 percent CL within a two-parameter fit.The mass is determined to be 0.53-1.05 TeV. Comparisons with other results aregiven.

Neural network predictions for Z' boson within LEP2 data set of Bhabha process