Advances in Neural Networks – ISNN 2019

16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I

Huchuan Lu, Huajin Tang, Zhanshan Wang (Herausgeber)

Buch | Softcover

XXII, 483 Seiten

2019
Springer International Publishing (Verlag)
978-3-030-22795-1 (ISBN)

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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.

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.

Erscheinungsdatum	28.06.2019
Reihe/Serie	Lecture Notes in Computer Science
Reihe/Serie	Theoretical Computer Science and General Issues
Zusatzinfo	XXII, 483 p. 198 illus., 133 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	771 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Schlagworte	Adaptive Control Systems • Applications • Artificial Intelligence • classification • Computer Science • conference proceedings • Data Mining • estimation • evolutionary algorithms • Genetic algorithms • Image Processing • image reconstruction • Image Segmentation • Imaging Systems • Informatics • Learning Algorithms • Linear Matrix Inequalities • Matrix Algebra • Neural networks • Numerical Methods • Process Control • Research • Signal Detection • Signal Processing • Support Vector Machines (SVM)
ISBN-10	3-030-22795-2 / 3030227952
ISBN-13	978-3-030-22795-1 / 9783030227951
Zustand	Neuware