Cantitate/Preț
Produs

Advances in Neural Networks – ISNN 2019: 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II: Lecture Notes in Computer Science, cartea 11555

Editat de Huchuan Lu, Huajin Tang, Zhanshan Wang
en Limba Engleză Paperback – 27 iun 2019
This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019.
The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and Data Generation; Image Recognition, Scene Understanding, and Video Analysis; Bio-signal, Biomedical Engineering, and Hardware. 
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (2) 34278 lei  6-8 săpt.
  Springer International Publishing – 26 iun 2019 34278 lei  6-8 săpt.
  Springer International Publishing – 27 iun 2019 34940 lei  6-8 săpt.

Din seria Lecture Notes in Computer Science

Preț: 34940 lei

Preț vechi: 43675 lei
-20% Nou

Puncte Express: 524

Preț estimativ în valută:
6687 6892$ 5646£

Carte tipărită la comandă

Livrare economică 01-15 martie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030228071
ISBN-10: 303022807X
Pagini: 621
Ilustrații: XXI, 615 p. 322 illus., 201 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.89 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Cham, Switzerland

Cuprins

Learning System, Graph Model, and Adversarial Learning.- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation.- Model Optimization, Bayesian Learning, and Clustering.- Game Theory, Stability Analysis, and Control Method.- Signal Processing, Industrial Application, and Data Generation.- Image Recognition, Scene Understanding, and Video Analysis.- Bio-signal, Biomedical Engineering, and Hardware.