TY  - GEN
N2  - The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 12533, is organized in topical sections on computational intelligence; machine learning; robotics and control.
DO  - 10.1007/978-3-030-63833-7
DO  - doi
AB  - The three-volume set of LNCS 12532, 12533, and 12534 constitutes the proceedings of the 27th International Conference on Neural Information Processing, ICONIP 2020, held in Bangkok, Thailand, in November 2020. Due to COVID-19 pandemic the conference was held virtually. The 187 full papers presented were carefully reviewed and selected from 618 submissions. The papers address the emerging topics of theoretical research, empirical studies, and applications of neural information processing techniques across different domains. The second volume, LNCS 12533, is organized in topical sections on computational intelligence; machine learning; robotics and control.
T1  - Neural information processing :27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings.
DA  - 2020.
CY  - Cham :
AU  - Yang, Haiqin.
AU  - Pasupa, Kitsuchart.
AU  - Leung, Chi Sing.
AU  - Kwok, James
AU  - Chan, Jonathan H.
AU  - King, Irwin,
VL  - 12533
CN  - Q337.5
PB  - Springer,
PP  - Cham :
PY  - 2020.
N1  - International conference proceedings.
N1  - Includes author index.
ID  - 958858
KW  - Neural networks (Computer science)
SN  - 9783030638337
SN  - 3030638332
TI  - Neural information processing :27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings.
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-63833-7
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-030-63833-7
ER  -