Artificial Neural Networks and Machine Learning – ICANN 2018 Artificial Neural Networks and Machine Learning – ICANN 2018

Artificial Neural Networks and Machine Learning – ICANN 2018

27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III

Věra Kůrková and Others
    • $39.99
    • $39.99

Publisher Description

This three-volume set LNCS 11139-11141 constitutes the refereed proceedings of the 27th International Conference on Artificial Neural Networks, ICANN 2018, held in Rhodes, Greece, in October 2018.

The papers presented in these volumes was carefully reviewed and selected from  total of 360 submissions. They are related to the following thematic topics: AI and Bioinformatics, Bayesian and Echo State Networks, Brain Inspired Computing, Chaotic Complex Models, Clustering, Mining, Exploratory Analysis, Coding Architectures, Complex Firing Patterns, Convolutional Neural Networks, Deep Learning (DL), DL in Real Time Systems, DL and Big Data Analytics, DL and Big Data, DL and Forensics, DL and Cybersecurity, DL and Social Networks, Evolving Systems – Optimization, Extreme Learning Machines, From Neurons to Neuromorphism, From Sensation to Perception, From Single Neurons to Networks, Fuzzy Modeling, Hierarchical ANN, Inference and Recognition, Information and Optimization, Interacting with The Brain, Machine Learning (ML), ML for Bio Medical systems, ML and Video-Image Processing, ML and Forensics, ML and Cybersecurity, ML and Social Media, ML in Engineering, Movement and Motion Detection, Multilayer Perceptrons and Kernel Networks, Natural Language, Object and Face Recognition, Recurrent Neural Networks and Reservoir Computing, Reinforcement Learning, Reservoir Computing, Self-Organizing Maps, Spiking Dynamics/Spiking ANN, Support Vector Machines, Swarm Intelligence and Decision-Making, Text Mining, Theoretical Neural Computation, Time Series and Forecasting, Training and Learning.

GENRE
Computers & Internet
RELEASED
2018
October 2
LANGUAGE
EN
English
LENGTH
875
Pages
PUBLISHER
Springer International Publishing
SELLER
Springer Nature B.V.
SIZE
21.2
MB

More Books Like This

Neural Information Processing Neural Information Processing
2020
Neural Information Processing Neural Information Processing
2018
Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation
2019
Artificial Neural Networks and Machine Learning – ICANN 2021 Artificial Neural Networks and Machine Learning – ICANN 2021
2021
Advances in Computational Intelligence Advances in Computational Intelligence
2019
Neural Information Processing Neural Information Processing
2023

More Books by Věra Kůrková, Yannis Manolopoulos, Barbara Hammer, Lazaros Iliadis & Ilias Maglogiannis

Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation
2019
Artificial Neural Networks and Machine Learning – ICANN 2018 Artificial Neural Networks and Machine Learning – ICANN 2018
2018
Artificial Neural Networks and Machine Learning – ICANN 2018 Artificial Neural Networks and Machine Learning – ICANN 2018
2018