Items where Author is "Chang, Xiang"

Gao, Xingen, Chao, Fei, Zhou, Changle, Ge, Zhen, Yang, Longzhi, Chang, Xiang, Shang, Changjing and Shen, Qiang (2022) Error controlled actor-critic. Information Sciences, 612. pp. 62-74. ISSN 0020-0255

Wang, Zi-Qi, Li, Li-Jiang, Chao, Fei, Lin, Chih-Min, Yang, Longzhi, Zhou, Changle, Chang, Xiang, Shang, Changjing and Shen, Qiang (2022) A Type 2 wavelet brain emotional learning network with double recurrent loops based controller for nonlinear systems. Knowledge-Based Systems, 251. p. 109274. ISSN 0950-7051

Wu, Ruiqi, Chao, Fei, Zhou, Changle, Huang, Yuxuan, Yang, Longzhi, Lin, Chih-Min, Chang, Xiang, Shen, Qiang and Shang, Changjing (2022) A Developmental Evolutionary Learning Framework for Robotic Chinese Stroke Writing. IEEE Transactions on Cognitive and Developmental Systems, 14 (3). pp. 1155-1169. ISSN 2379-8920

Li, Quanfeng, Guo, Zhihua, Chao, Fei, Chang, Xiang, Yang, Longzhi, Lin, Chih-Min, Shang, Changjing and Shen, Qiang (2022) Solving Robotic Trajectory Sequential Writing Problem via Learning Character’s Structural and Sequential Information. IEEE Transactions on Cybernetics. pp. 1-13. ISSN 2168-2267 (In Press)

Fang, Wubing, Chao, Fei, Lin, Chih-Min, Zhou, Dajun, Yang, Longzhi, Chang, Xiang, Shen, Qiang and Shang, Changjing (2021) Visual-guided Robotic Object Grasping using Dual Neural Network Controllers. IEEE Transactions on Industrial Informatics, 17 (3). pp. 2282-2291. ISSN 1551-3203

Chao, Fei, Lin, Gan, Zheng, Ling, Chang, Xiang, Lin, Chih-Min, Yang, Longzhi and Shang, Changjing (2020) An LSTM Based Generative Adversarial Architecture for Robotic Calligraphy Learning System. Sustainability, 12 (21). p. 9092. ISSN 2071-1050

Zhang, Juncheng, Li, Quanfeng, Chang, Xiang, Chao, Fei, Lin, Chih-Min, Yang, Longzhi, Huynh, Tuan Tu, Zheng, Ling, Zhou, Changle and Shang, Changjing (2020) A Novel Self-Organizing Emotional CMAC Network for Robotic Control*. In: 2020 International Joint Conference on Neural Networks (IJCNN): 2020 - conference proceedings. Proceedings of the International Joint Conference on Neural Networks . IEEE, Piscataway, pp. 1-6. ISBN 9781728169279, 9781728169262