Stock image for illustration purposes only - book cover, edition or condition may vary.
Advances in Neural Networks - ISNN 2014
. Ed(S): Zeng, Zhigang; Li, Yangmin; King, Irwin
€ 66.95
FREE Delivery in Ireland
Description for Advances in Neural Networks - ISNN 2014
Paperback. Editor(s): Zeng, Zhigang; Li, Yangmin; King, Irwin. Series: Lecture Notes in Computer Science / Theoretical Computer Science and General Issues. Num Pages: 665 pages, 237 black & white illustrations, biography. BIC Classification: UYQ; UYT. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 34. Weight in Grams: 1009.
The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows. The focus is on following topics such as analysis, modeling, and applications.
The volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These papers cover all major topics of the theoretical research, empirical study and applications of neural networks research as follows. The focus is on following topics such as analysis, modeling, and applications.
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer International Publishing AG Switzerland
Number of pages
665
Condition
New
Series
Lecture Notes in Computer Science / Theoretical Computer Science and General Issues
Number of Pages
649
Place of Publication
Cham, Switzerland
ISBN
9783319124353
SKU
V9783319124353
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Advances in Neural Networks - ISNN 2014