Based on the research of genetic algorithm (GA) to optimize the BP neural network algorithm, this paper proposes a method for predicting twisted wire crosstalk based on the algorithm. Firstly, the equivalent circuit model of a multi-conductor transmission line is established, combined with the method of similarity transformation, the second-order differential transmission line equations are decoupled into n groups of independent two-conductor transmission line equations, and the crosstalk is finally solved. Then the mathematical model of the twisted wire is established and its structural characteristics are analyzed, and the GA-BP neural network algorithm is used to realize the mapping of the electromagnetic parameter matrix of the twisted wire and the position of the twisted wire. Finally, the mapping relationship is substituted into the transmission line equation, and the near-end crosstalk (NEXT) and the far-end crosstalk (FEXT) of an example three-core twisted wire are predicted based on the idea of cascade combined. By comparing with the transmission line matrix method (TLM), it can be seen that the method proposed in this paper is in good agreement with the crosstalk results obtained by the electromagnetic field numerical method, which verifies the effectiveness of the algorithm proposed in this paper.
In this paper, a multi-core twisted wire model with random non-uniform twists is established. The random combination of complete and non-complete pitch sections is used to accurately simulate the randomness of actual multi-core twisted wires. On the basis of the model, the cross section of the cascaded MTL is obtained, and a neural network algorithm is used to describe the complex relationship between the arbitrary position of the multi-core twisted wires and the unit length parameters. The unit length parameters at any position are obtained by cross section rotational transformation and random transposition transformation between conductors. Finally, the crosstalk in electromagnetic compatibility performance is calculated, and different termination impedances are analyzed. The results show that the crosstalk of multi-core twisted wires is susceptible to the effects of twisting and termination impedance at high frequencies, and the reliability of the proposed method is verified by comparison with full-wave simulation.
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