Showing results 1 to 17 of 17
Abstraction of Continuous System to Discrete Event System Using Neural Network Jung, Sung Hoon; Kim, Tag Gon, SPIE, Vol.3083, pp.42-51, 1997 |
Accelerated simulation of hierarchical military operations with tabulation technique Bae, Jang Won; Kim, Jung Hoon; Kim, Tag Gon; Moon, Il-Chul, JOURNAL OF SIMULATION, v.10, no.1, pp.36 - 49, 2016-02 |
AIDECS : An AI-Based, Distributed Environmental Control System for Self-Sustaining Habitats Kim, Tag Gon; Zeigler, Bernard P., Artificial Intelligence in Engineering, Vol.5, No.1, pp.33-42, 1990 |
An HLA-Based Formal Co-Simulation Approach for Rapid Prototyping of Heterogeneous Mixed-Signal SoCs Seok, Moon Gi; Kim, Tag Gon; Park, Daejin, IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, v.E100A, no.7, pp.1374 - 1383, 2017-07 |
An Improved Budget Allocation Procedure for Selecting the Best-Simulated Design in the Presence of Large Stochastic Noise![]() Choi, Seon Han; Choi, Changbeom; Kim, Tag Gon, IEEE ACCESS, v.7, pp.154435 - 154446, 2019-11 |
Data modeling versus simulation modeling in the big data era: case study of a greenhouse control system Kim, Byeong Soo; Kang, Bonggu; Choi, Seon Han; Kim, Tag Gon, SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, v.93, no.7, pp.579 - 594, 2017-07 |
DEVS에 기반한 분산 시뮬레이션 환경 D-DEVSim++의 설계 및 구현 Kim, Ki Hyung; Kim, Tag Gon; Park, Kyun Ho, 한국시뮬레이션학회 논문지, v.5, no.2, pp.41 - 58, 1996-12 |
Efficient Flattening Algorithm for Hierarchical and Dynamic Structure Discrete Event Models Bae, Jang Won; Bae, Sang Won; Moon, Il-Chul; Kim, Tag Gon, ACM TRANSACTIONS ON MODELING AND COMPUTER SIMULATION, v.26, no.4, 2016-05 |
Enhancing model composability and reusability for entity-level combat simulation: A conceptual modeling approach Seo, Kyung-Min; Hong, Wooyoung; Kim, Tag Gon, SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, v.93, no.10, pp.825 - 840, 2017-10 |
Enhancing the Noise Robustness of the Optimal Computing Budget Allocation Approach![]() Choi, Seon Han; Kim, Tag Gon, IEEE ACCESS, v.8, pp.25749 - 25763, 2020-01 |
Fast learning method for back-propagation neural network by evolutionary adaptation of learning rates Kim, Heung Bum; Jung, Sung Hoon; Kim, Tag Gon; Park, Kyu Ho, Neurocomputing, Vol.11, pp.101-106, 1996-02-08 |
Machine learning-based discrete event dynamic surrogate model of communication systems for simulating the command, control, and communication system of systems Kang, Bong Gu; Seo, Kyung-Min; Kim, Tag Gon, SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, v.95, no.8, pp.673 - 691, 2019-08 |
Model-Based Design of Defense Cyber-Physical Systems to Analyze Mission Effectiveness and Network Performance![]() Kang, Bong Gu; Seo, Kyung-Min; Kim, Tag Gon, IEEE ACCESS, v.7, pp.42063 - 42080, 2019-04 |
Modeling and Simulation Using Artificial Neural Network-Embedded Cellular Automata![]() Kim, Byeong Soo; Kim, Tag Gon, IEEE ACCESS, v.8, pp.24056 - 24061, 2020-01 |
Simulation Environment of DEVS Models using MATLAB/Simulink Seo, Kyung Min; Sung, Chang Ho; Kim, Tag Gon, 한국시뮬레이션학회지, Vol.12, No.1, pp.88-96, 2008-12 |
Simulation-Based Optimization on the System-of-Systems Model via Model Transformation and Genetic Algorithm: A Case Study of Network-Centric Warfare![]() Kang, Bong Gu; 최선한; Kwon, Se Jung; Lee, Jun-Hee; Kim, Tag Gon, COMPLEXITY, 2018-10 |
하이브리드 시스템 모델링 및 시뮬레이션,제2부 :시뮬레이터 연동 환경 Lim, Seong Yong; Kim, Tag Gon, 한국시뮬레이션학회 논문지, v.10, no.3, pp.15 - 29, 2001-09 |
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