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Wiring modeling optimization method and device based on BP neural network

A BP neural network and optimization method technology, applied in the field of board routing modeling, can solve the problems of spending a lot of time, high experience requirements, and long optimization time, and achieve the effect of improving accuracy and efficiency

Active Publication Date: 2020-02-07
INSPUR SUZHOU INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The manual adjustment method for routing optimization requires a relatively high level of experience for the designer, and the optimization takes a long time. When many routings need to be established for link simulation, it takes a lot of time to model in the early stage.

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  • Wiring modeling optimization method and device based on BP neural network
  • Wiring modeling optimization method and device based on BP neural network
  • Wiring modeling optimization method and device based on BP neural network

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Embodiment Construction

[0037] In order to clearly illustrate the technical features of this solution, the present invention will be described in detail below through specific implementation modes and in conjunction with the accompanying drawings. The following disclosure provides many different embodiments or examples for implementing different structures of the present invention. To simplify the disclosure of the present invention, components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and / or letters in different instances. This repetition is for the purpose of simplicity and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed. It should be noted that components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and processes are omitted herein to avoid unnecessarily limiting the...

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Abstract

The invention discloses a wiring modeling optimization method and device based on a BP neural network, and the method comprises the following steps: obtaining the lamination information of a board card, and carrying out the wiring modeling through the parameter information of the board card; utilizing a BP neural network to obtain optimization parameters, meeting impedance and loss indexes, of theto-be-modeled wiring; and calling the optimization intermediate file to establish a plurality of wiring optimization models. According to the method, the BP neural network is added to realize self-adaptability of routing impedance and loss optimization, so that the precision of a routing model and the efficiency of modeling optimization are improved. By utilizing the intermediate file generated by routing modeling and combining modeling software, a plurality of routing models can be established at one time, and batch processing of wiring optimization is realized, so that the efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of board routing modeling, in particular to a routing modeling optimization method and device based on a BP neural network. Background technique [0002] With the continuous improvement of clock frequency, higher and higher requirements are put forward for the signal integrity of high-speed signals. It is important to evaluate the link risk in the early stage of the project and simulate the risk link to avoid risks and shorten the project cycle. significance. In the early stage of high-speed link simulation, we need to collect models of devices, connectors, cables, vias, and traces in the link. Among them, for devices, connectors, and cables, they are generally provided by suppliers, and for vias and wiring, they need to be modeled and designed by themselves. Routing is an important part of high-speed links, and the accuracy of the model plays an important role in the simulation results. [0003] At prese...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/367G06F30/3312G06F30/27G06N3/04G06N3/08
CPCG06N3/084G06N3/045
Inventor 李楠
Owner INSPUR SUZHOU INTELLIGENT TECH CO LTD
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