Qian Yin (ed.) | Akateeminen Kirjakauppa

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INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING – IDEAL 2016 : 17TH INTERNATIONAL CONFERENCE, YANGZHOU, CHINA, OCTOBER 12–14

Hujun Yin (ed.); Yang Gao (ed.); Bin Li (ed.); Daoqiang Zhang (ed.); Ming Yang (ed.); Yun Li (ed.); Frank Klawonn (ed.)
Springer (2016)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja

49,60 €

STRUCTURAL IMMUNOLOGY

Tengchuan Jin (ed.); Qian Yin (ed.)
Springer (2019)
Saatavuus: Tilaustuote
Kovakantinen kirja

121,30 €

STRUCTURAL IMMUNOLOGY

Tengchuan Jin (ed.); Qian Yin (ed.)
Springer (2020)
Saatavuus: Tilaustuote
Pehmeäkantinen kirja

121,30 €

PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND NETWORKS : VOLUME I

Yonghong Zhang (ed.); Lianyong Qi (ed.); Qi Liu (ed.); Guangqiang Yin (ed.); Xiaodong Liu (ed.)
Springer (2024)
Saatavuus: Tilaustuote
Kovakantinen kirja

241,40 €

PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND NETWORKS : VOLUME III

Yonghong Zhang (ed.); Lianyong Qi (ed.); Qi Liu (ed.); Guangqiang Yin (ed.); Xiaodong Liu (ed.)
Springer (2024)
Saatavuus: Tilaustuote
Kovakantinen kirja

215,70 €

PROCEEDINGS OF THE 13TH INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND NETWORKS : VOLUME II

Yonghong Zhang (ed.); Lianyong Qi (ed.); Qi Liu (ed.); Guangqiang Yin (ed.); Xiaodong Liu (ed.)
Springer (2024)
Saatavuus: Tilaustuote
Kovakantinen kirja

215,70 €

Intelligent Data Engineering and Automated Learning – IDEAL 2016 : 17th International Conference, Yangzhou, China, October 12–14

Hujun Yin (ed.), Yang Gao (ed.), Bin Li (ed.), Daoqiang Zhang (ed.), Ming Yang (ed.), Yun Li (ed.), Frank Klawonn (ed.)

49,60 €

Springer
Sivumäärä: 647 sivua
Asu: Pehmeäkantinen kirja
Julkaisuvuosi: 2016, 13.09.2016 (lisätietoa)
Kieli: Englanti

This book constitutes the refereed proceedings of the 17 International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2016, held in Yangzhou, China, in October 2016.

The 68 full papers presented were carefully reviewed and selected from 115 submissions. They provide a valuable and timely sample of latest research outcomes in data engineering and automated learning ranging from methodologies, frameworks, and techniques to applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological modeling and predication; text processing and image analysis.

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