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| Design of Scenario Creation Model for AI-CGF based on Naval Operations, Resources Analysis Model(I): Evolutionary Learning |
| Hyun-geun Kim, Jung-seok Gang, Kang-moon Park, Jae-U Kim, Jang-hyun Kim, Bum-joon Park, Sung-do Chi |
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J. KIMS Technol. 2022;25(6):617-627. Published online December 5, 2022 DOI: https://doi.org/10.9766/KIMST.2022.25.6.617 |
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Design of Scenario Creation Model for AI-CGF based on Naval Operations, Resources Analysis Model(I): Evolutionary Learning Journal of the Korea Institute of Military Science and Technology. 2022;25(6):617-627  Model-aided learning for adaptive management of natural resources: an evolutionary design perspective Methods in Ecology and Evolution. 2011;2(6):643-650 AI Model Fairness Using a What-If Scenario Practical Explainable AI Using Python. 2021;229-242 Test scenario generator learning for model-based testing of mobile robots System Assurances. 2022;67-84 Design Optimization of a Pneumatic Soft Robotic Actuator Using Model-Based Optimization and Deep Reinforcement Learning Frontiers in Robotics and AI. 2021;8: Evolutionary development: a model for the design, implementation, and evaluation of ICT for education programmes Journal of Computer Assisted Learning. 2011;28(2):81-98 An Evolutionary Computation Based Model for Testing Transfer Learning Strategies 2021 IEEE Congress on Evolutionary Computation (CEC). 2021; Development of a scenario-based robust model for the optimal truck-shovel allocation in open-pit mining Computers & Operations Research. 2020;115:104539 A Design of Bat based Optimized Deep Learning Model for EEG Signal Analysis . 2022; Scenario‐based planning: Decision model for the learning organization Planning Review. 1994;22(2):6-11 |
