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As the key stage of operational concept development, capability requirement analysis is the process of analyzing solutions to specific operational problems, and defining various demand elements such as capability indicators, indicator thresholds, and indicator relationships. This analysis process needs to be supported by a scientific and reasonable indicator system with military significance. This indicator system should not only have the traditional purpose, integrity and measura- bility of indicators, but also have the characteristics of integration and hierarchy, emergence and aggregation, and qualitative and quantitative combination. Aiming at the above requirements, it takes the operational concept of " stereoscopic projection" as the research object. Firstly, based on DoDAF2.0, an operational concept architecture model with capability requirements as the core is built; Based on the characteristics of capacity demand analysis, a super network indicator system including three node networks is designed; Finally, according to the designed super network structure, based on the built operational concept architecture model, the capability requirement analysis indicator system is established, and the effectiveness of the method is analyzed. [ABSTRACT FROM AUTHOR]

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Capability requirement analysis is the key stage of operational concept development. Based on the formal description of the operational concept capability requirement analysis， a method of operational concept capability requirement analysis based on DRL（deep reinforcement learning） is designed from the perspective of qualitative and quantitative combination. In this method， small sample data sets with high reliability can be obtained through simulation experiments; Based on the experience data， the surrogate model of operation concept is constructed， and the model is optimized and trained by using multi-objective optimization algorithm with the high credibility simulation data set as the input; Finally， the agent model obtained from the training and the DRL framework are interactively optimized to achieve the reverse exploration of the operational concept capability requirements. The experiment results show that the method is feasible. [ABSTRACT FROM AUTHOR]

Copyright of Coal Science & Technology (0253-2336) is the property of Coal Science & Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Coal Geology & Exploration is the property of Xian Research Institute of China Coal Research Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Systems Engineering & Electronics is the property of Journal of Systems Engineering & Electronics Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)