Fr. 134.00

Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III

English · Paperback / Softback

Shipping usually within 1 to 2 weeks (title will be printed to order)

Description

Read more

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 third volume, LNCS 12534, is organized in topical sections on biomedical information; neural data analysis; neural network models; recommender systems; time series analysis.

Product details

Assisted by Jonathan H. Chan (Editor), Andrew Chi-Sing Leung et al (Editor), Irwin King (Editor), James T. Kwok (Editor), Andrew Chi-Sing Leung (Editor), Andrew Leung et al (Editor), Kitsuchar Pasupa (Editor), Kitsuchart Pasupa (Editor), Haiqin Yang (Editor)
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 04.02.2021
 
EAN 9783030638351
ISBN 978-3-0-3063835-1
No. of pages 643
Dimensions 156 mm x 36 mm x 237 mm
Illustrations XXV, 643 p. 226 illus., 190 illus. in color.
Series Lecture Notes in Computer Science
Theoretical Computer Science and General Issues
Subject Natural sciences, medicine, IT, technology > IT, data processing > Application software

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.