연구실 소개


* 주요 연구


- 딥러닝 (CNN) 기반 물체인식 / 결함검사

- 딥러닝 (LSTM) 기반 기상 예측

- 진화연산 기반 기상 예측

- 진화연산 기반 로봇 보행

- 진화연산 알고리즘 (Genetic Programming / Evolutionary Algorithm / Genetic, Algorithm)


* 관련 분야 : 인공지능, 계산지능, 기계학습, 컴퓨터비전, 지능로봇, 모델 예측



새 소식


- M. Lee, J. Choi, K. Seo, “Surface Defect Image Classification of Metal Smartphone Cases Using Convolutional Neural Networks”, IEEE Transactions on Industrial Informatics, 2018 Submitted, SCI 석사과정 이민기 학생 투고


- S-B Roh, S-K Oh, W. Pedrycz, K. Seo, Z. Fu, “Design Methodology for Radial Basis Function Neural Networks Classifier Based on Locally Linear Reconstruction and Conditional Fuzzy C-Means Clustering”, International Journal of Approximate Reasoning, 2018 (Under Revision), SCI


- D. Kyeong, K. Seo, “Two CPG Based Gait Generation Methods to Improve an Adaptation Ability on Slop Terrains for Humanoid Robots“, JEET(Journal of Electrical Engineering and Technology), April 2018, (Accepted) 석사과정 경덕환 학생 게재 예정


- J. Kim, M. Lee, J. Choi, K. Seo, “GA-based Filter Selection for Representation in Convolutional Neural Networks”, ECCV-2018 Workshop, Lecture Notes in Computer Science, Springer-Verlag, 2018 (To Appear), SCOPUS 석사과정 김준봉/이민기 학생 ECCV 워크샵 포스터 게재


- J. Yoon, D. Kyeong, K. Seo, “A hybrid method based on F-transform for robust estimators”, International Journal of Approximate Reasoning, 2018 (To Appear), SCI 석사과정 경덕환 학생 게재


- E. Kim, J. Ko, S. Oh, K. Seo, “Design of Meteorological Pattern Classification System Based on FCM-based Radial Basis Function Neural Networks Using Meteorological Radar Data“, Soft Computing, Elsevier, 2018 (To Appear) SCIE


- Y. Cho, K. Seo, “Building a HOG Descriptor Model of Pedestrian Images Using GA and GP Learning“, International Journal of Fuzzy Logic and Intelligent Systems, Vol. 18, No. 2, pp. 111-119, June 2018, SCOPUS


- S. Roh, S. Oh, J. Yoon, K. Seo, “Design of face recognition system based on fuzzy transform and radial basis function neural networks“, Soft Computing, Elsevier, Vol. , pp. , First Online: 09 April 2018, SCIE