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Product model design system and method based on graph network

A product model and design system technology, applied in biological neural network models, neural learning methods, design optimization/simulation, etc., can solve the problems of fragmented product model design process, long development cycle, and low work efficiency

Active Publication Date: 2018-12-28
SHIJIAZHUANG CHUANGTIAN ELECTRONICS TECH CO LTD
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Problems solved by technology

[0003] In addition, the design process of the current product model is also fragmented, and it is all realized by manual means
In addition, highly relevant data will be generated during the design process of the product model. However, there is currently no system and method that can automatically learn the rules of the data generated during the design process, resulting in low work efficiency and development problems in the current product model design work. Technical problems such as long cycle time

Method used

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  • Product model design system and method based on graph network
  • Product model design system and method based on graph network
  • Product model design system and method based on graph network

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Embodiment Construction

[0036] Implementing any technical solution of the embodiments of the present invention does not necessarily need to achieve all the above advantages at the same time.

[0037] In order to enable those skilled in the art to better understand the technical solutions in the embodiments of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, but not all of them. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments in the embodiments of the present invention shall fall within the protection scope of the embodiments of the present invention.

[0038] Graph Network (Graph Network) is a generalized artificial neural network based on graph structure, which can directly...

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Abstract

Embodiments of the present application provide a product model design system and method based on a graph network. By transforming the product model into the corresponding graph network, the depth neural network can learn and train according to the corresponding characteristics mapped by the graph network, so that the depth neural network can predict the corresponding optimal design actions according to the design index parameters of the product model to be built and automatically generate a product model conforming to the design index parameters.

Description

technical field [0001] The embodiments of the present application relate to a product model design method and system thereof, especially to a product model design system and method based on graph network technology. Background technique [0002] At present, the design of the product model is realized by using computer simulation design tools, which mainly includes establishing a simulation model in the computer through the simulation design tool, adding relevant operating environment conditions, and then performing calculations by the simulation design tool. If the simulation model If the calculation results cannot meet the design requirements of the model index parameters, it is necessary to continuously adjust the simulation model until the calculation results meet the design requirements of the model index parameters. [0003] In addition, the current product model design process is also fragmented, and all are realized by manual means. In addition, highly relevant data ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06N3/08
CPCG06N3/084G06F30/20Y02P90/30
Inventor 不公告发明人
Owner SHIJIAZHUANG CHUANGTIAN ELECTRONICS TECH CO LTD
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