Hujun Yin (ed.); Yang Gao (ed.); Songcan Chen (ed.); Yimin Wen (ed.); Guoyong Cai (ed.); Tianlong Gu (ed.); Junping (e Du Springer (2017) Pehmeäkantinen kirja
Hujun Yin; Ke Tang; Yang Gao; Frank Klawonn; Minho Lee; Bin Li; Thomas Weise; Xin Yao Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2013) Pehmeäkantinen kirja
Hujun Yin; Yang Gao; Bin Li; Daoqiang Zhang; Ming Yang; Yun Li; Frank Klawonn; Antonio J. Tallón-Ballesteros Springer International Publishing AG (2016) Pehmeäkantinen kirja
Hujun Yin (ed.); David Camacho (ed.); Peter Tino (ed.); Antonio J. Tallón-Ballesteros (ed.); Ronaldo Menezes (ed.); Allmend Springer (2019) Pehmeäkantinen kirja
Hujun Yin (ed.); David Camacho (ed.); Peter Tino (ed.); Antonio J. Tallón-Ballesteros (ed.); Ronaldo Menezes (ed.); Allmend Springer (2019) Pehmeäkantinen kirja
Hujun Yin (ed.); David Camacho (ed.); Peter Tino (ed.); Richard Allmendinger (ed.); Antonio J. Tallón-Ballesteros (ed.); Ta Springer (2021) Pehmeäkantinen kirja
This book constitutes the refereed proceedings of the 18th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2017, held in Guilin, China, in October/November 2017.
The 65 full papers presented were carefully reviewed and selected from 110 submissions. These papers provided a sample of latest research outcomes in data engineering and automated learning, from methodologies, frameworks and techniques to applications. In addition to various topics such as evolutionary algorithms, deep learning neural networks, probabilistic modelling, particle swarm intelligence, big data analytics, and applications in image recognition, regression, classification, clustering, medical and biological modelling and prediction, text processing and social media analysis.
