Radiated emission from electric motors interferes nearby electronic devices and, thus, degrades the electromagnetic compatibility performance of the systems. Establishing a full-wave model of electric motor is crucial to full understanding of the radiated emission. Nevertheless, challenges remain in modeling large quantities of winding wires that hinders the establishment of a full-wave model. In particular, the proximity effects of closely spaced winding wires can strongly affect their radiation characteristics by changing the charge distributions on wires, which should be critically considered in the reduction modeling. In this article, the geometrical and electrical characteristics considering proximity effects are first generated by deriving the per-unit-length capacitance matrix of wires, and a four-step reduction procedure is detailed to simplify the complete wires model influenced by proximity effects. Backpropagation (BP) neural network is used for the first time to compute the geometrical characteristics of reduced wires model. Our results show that the reduced model has identical radiation characteristics with the complete model, as such it can be applied to develop a full-wave electric motor model for the prediction of radiated emissions. The validation of our technology is testified both numerically and experimentally.