Data generation method and system based on improved SeqGAN

A data generation and data technology, applied in neural learning methods, biological neural network models, multi-objective optimization, etc., can solve the problems of single simulation method, large-scale application effect difference, and unrealized large-scale verification of measurement system simulation, etc. problems, to achieve wide adaptability and increase stability

Pending Publication Date: 2021-07-09
CHINA ELECTRIC POWER RES INST +2
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Problems solved by technology

[0004] The embodiments of the present disclosure provide a data generation method and system based on improved SeqGAN, to at least solve the problem in the prior art that the energy metering industries in my country have not realized the large-scale verification of the metering system simulation, the simulation method is relatively simple, and the laboratory The verification results of the test and the field test and the effect of large-scale application are quite different, and it is unable to meet the technical problems of verifying the feasibility of various new businesses, new methods, and new technologies.

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  • Data generation method and system based on improved SeqGAN
  • Data generation method and system based on improved SeqGAN
  • Data generation method and system based on improved SeqGAN

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[0014] Exemplary embodiments of the present invention will now be described with reference to the drawings; however, the present invention may be embodied in many different forms and are not limited to the embodiments described herein, which are provided for the purpose of exhaustively and completely disclosing the present invention. invention and fully convey the scope of the invention to those skilled in the art. The terms used in the exemplary embodiments shown in the drawings do not limit the present invention. In the figures, the same units / elements are given the same reference numerals.

[0015] Unless otherwise specified, the terms (including scientific and technical terms) used herein have the commonly understood meanings to those skilled in the art. In addition, it can be understood that terms defined by commonly used dictionaries should be understood to have consistent meanings in the context of their related fields, and should not be understood as idealized or over...

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Abstract

The invention discloses a data generation method and system based on an improved SeqGAN. The method comprises the steps of obtaining a Roll-out generator model Gbeta based on data of a generator model Gtheta, and obtaining a discriminator model D according to the Roll-out generator model Gbeta; according to the discriminator model D, adjusting the generator model Gtheta, and determining the maximum expected reward; based on the maximum expected reward, training the generator model G theta, and determining an updated generator model G theta; and obtaining the updated generator model G theta from the potential space, and retraining the discriminator model D according to the updated generator model G theta and real data.

Description

technical field [0001] The present application relates to the field of generative confrontation network technology, in particular to a data generation method and system based on improved SeqGAN. Background technique [0002] With the rapid development of world energy, the State Grid Corporation of China is accelerating its construction into a world-class energy Internet company, gradually strengthening its competitiveness, and putting forward new requirements for customer-side energy measurement that supports the development of marketing business. At present, electric energy metering is transforming to comprehensive energy metering. The large-scale verification of metering system simulation has not been realized in various energy metering industries in my country. The simulation method is relatively single, and the results of laboratory test and field test verification and the effect of large-scale application are quite different. Promoting feasibility verification requireme...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06N3/04G06N3/08G06F111/06
CPCG06F30/27G06N3/08G06F2111/06G06N3/044G06N3/045
Inventor 窦健郄爽徐英辉刘宣阿辽沙·叶
Owner CHINA ELECTRIC POWER RES INST
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