Artificial intelligence agent training system and optimization design system and method for passive circuit

Abstract

The embodiment of the invention provides an artificial intelligence agent training system and an optimization design system and method for a passive circuit. A circuit model to be optimized and a required circuit model design index are input to enable an artificial intelligence agent to execute circuit optimization design processing by aiming at the circuit model according to the circuit model design index, a circuit optimization model which conforms to the circuit model design index is automatically generated, the sharing of different types of passive circuit design experiences can be realized, the reusability of circuit design is improved, and the method has the advantages of high design efficiency and low design cost.

Description

technical field [0001] The embodiments of the present application relate to the design and development technology of passive circuits, and in particular to an artificial intelligence body training system and an artificial intelligence-based passive circuit optimization design system and method thereof. Background technique [0002] Currently, passive circuits are widely used in the electronic field. The so-called passive circuit refers to a circuit composed of basic components such as RCL (ie, resistor R, inductor L, and capacitor C). The existing passive circuit design has the following problems: [0003] First of all, the design of passive circuits requires experienced designers. The whole design process mainly includes establishing simulation models in computer simulation design tools, generating calculation results, debugging and optimizing circuits. However, the current design process of passive circuits is fragmented and all are implemented manually. [0004] Secondl...

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Problems solved by technology

However, the current design process of passive circuits is fragmented and is implemented manually

[0004] Secondly, due to the wide variety of passive circuits, it has a high design threshold. For designers with little or no design experience, it is easy to be difficult to carry out circuit design work due to limited design experience. troubled

[0005] Furthermore, passive circuits will generate highly relevant data in the process of design and optimization, but currently there is no system and method that can automatically learn the laws of the data generated in circuit design, resulting in low work efficiency in current circuit design and development. long cycle

[0006] In summary, since different types of passive circuits in the prior art have common design and debugging characteristics, but there is no system and method that can specify how to perform migration and debugging of different types of circuits, resulting in the reproducibility of existing circuit design methods. The application degree is low, and how to improve the above-mentioned problems is the technical problem to be solved of this application

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