Artificial neural networks and machine learning -- ICANN 2016 : 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings. Part I / Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero (eds.).
Material type:
TextSeries: Lecture notes in computer science ; 9886. | LNCS sublibrary. SL 1, Theoretical computer science and general issues.Publisher: Switzerland : Springer, 2016Description: 1 online resource (xxix, 567 pages) : illustrationsContent type: - text
- computer
- online resource
- 9783319447780
- 3319447785
- ICANN 2016
- Neural networks (Computer science) -- Congresses
- Réseaux neuronaux (Informatique) -- Congrès
- User interface design & usability
- Algorithms & data structures
- Pattern recognition
- Information retrieval
- Image processing
- Artificial intelligence
- Computers -- Machine Theory
- Computers -- Programming -- Algorithms
- Computers -- Computer Vision & Pattern Recognition
- Computers -- Information Technology
- Computers -- Computer Graphics
- Computers -- Intelligence (AI) & Semantics
- Neural networks (Computer science)
- 006.3/2 23
- QA76.87
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
eBook
|
e-Library | eBook LNCS | Available |
International conference proceedings.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed September 7, 2016).
From Neurons to Networks -- Networks and Dynamics -- Higher Nervous Functions -- Neuronal Hardware -- Learning Foundations.
The two volume set, LNCS 9886 + 9887, constitutes the proceedings of the 25th International Conference on Artificial Neural Networks, ICANN 2016, held in Barcelona, Spain, in September 2016. The 121 full papers included in this volume were carefully reviewed and selected from 227 submissions. They were organized in topical sections named: from neurons to networks; networks and dynamics; higher nervous functions; neuronal hardware; learning foundations; deep learning; classifications and forecasting; and recognition and navigation. There are 47 short paper abstracts that are included in the back matter of the volume.