Electromagnetic compatibility forecasting method based on function link neural network

Abstract

The invention provides an electromagnetic compatibility forecasting method based on a function link neural network. The method comprises the following steps of: (1) taking n times of signal radiation strength statistical data as an initial input' (2) expanding one-dimensional data of the initial input to be two-dimensional data to obtain an input m of a two-dimensional function link neural network; (3) calculating a weight value of the function link neural network to obtain a forecasting function f(y'); and (4) according to the forecasting function, forecasting the electromagnetic compatibility between electrical elements. By the electromagnetic compatibility forecasting method based on the function link neural network, the dimension of the input part is expanded, and the conventional nonlinear problem is converted into a linear problem, so that the shortcomings of the conventional gradient search algorithm can be well overcome; and the problems of relatively complicated and troublesome multi-layer calculation of the BP neural network are solved.

Description

technical field [0001] The invention belongs to the field of electromagnetic compatibility of high-speed digital circuits, and in particular relates to an electromagnetic compatibility prediction method based on a function chain neural network. Background technique [0002] As the operating frequency and packaging density of devices on high-speed circuit boards continue to increase, the operating voltage in the circuit continues to decrease, which leads to lower and lower tolerance of the circuit to electromagnetic noise, and electromagnetic compatibility has become an important factor affecting the performance of high-speed circuits. question. In order to avoid the influence of electromagnetic noise on the circuit, designers need to consider the electromagnetic compatibility of the circuit when designing high-speed PCB boards. [0003] Electromagnetic Compatibility (Electromagnetic Compatibility) refers to the ability of electronic components to coordinate with each other ...

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Problems solved by technology

[0007] In order to overcome the above-mentioned defects, the present invention provides an electromagnetic compatibility prediction method based on the function chain neural network, which expands the dimension of the input part, and can transform the original nonlinear problem into a linear problem, so it can well solve the problems existing in the gradient search algorithm. Insufficient, while avoiding the cumbersome and troublesome problems of multi-layer operations of BP neural network

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