Circular hole metal plate shielding effectiveness prediction method and system, terminal and storage medium
A technology of shielding effectiveness and prediction method, applied in neural learning methods, special data processing applications, biological neural network models, etc., can solve the problems of wasting manpower and low computing efficiency, and achieve effective methods, high prediction accuracy, and shortened computing cycles. Effect
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Embodiment 1
[0035] figure 1 It is a method for predicting the shielding effectiveness of a circular hole metal plate according to an exemplary embodiment, and the method includes:
[0036] S101. Obtain characteristic parameters of the metal plate with circular holes.
[0037] The characteristic parameters of the circular hole metal plate include: the length of the circular hole, the diameter of the circular hole, the wave impedance, the number of holes per unit area, the width of the conductor between the holes, the incident frequency, the relative permeability and the relative conductivity.
[0038] S102. Obtain the shielding effectiveness of the metal plate with circular holes through the characteristic parameters of the shielding effectiveness of the metal plate with circular holes and the BP neural network model;
[0039] Get the BP neural network model:
[0040] (1) Construct a three-layer BP neural network topology for predicting the shielding effectiveness of metal plates with ci...
Embodiment 2
[0062] In the exemplary embodiment, according to the second aspect of the embodiment of the present invention, a system for predicting the shielding effectiveness of a metal plate with circular holes is provided, such as figure 2 As shown, the system includes:
[0063] Obtaining module 210, for obtaining circular hole metal plate characteristic parameter;
[0064] The execution module 220 is used to obtain the shielding effectiveness of the metal plate with circular holes through the characteristic parameters of the shielding effectiveness of the metal plate with circular holes and the BP neural network model;
[0065] The processing module 230 obtains a nonlinear mapping relationship between parameters and shielding effectiveness through the characteristic parameters of the metal plate with circular holes and the shielding effectiveness of the metal plate with circular holes.
[0066] In the present invention, the rapid calculation and prediction of the shielding effectiven...
Embodiment 3
[0068] image 3 It is a structural block diagram of a terminal provided in an embodiment of the present application, and the terminal may be the terminal in the foregoing embodiments. The terminal 300 may be a portable mobile terminal, such as a smart phone or a tablet computer. The terminal 300 may also be called user equipment, portable terminal and other names.
[0069] Generally, the terminal 300 includes: a processor 301 and a memory 302 .
[0070] The processor 301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 301 can adopt at least one hardware form in DSP (Digital Signal Processing, digital signal processing), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array, programmable logic array) accomplish. The processor 301 may also include a main processor and a coprocessor, the main processor is a processor for processing data in the wake-up state, and...
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