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Engineering Applications of Neural Networks : 23rd International Conference, EAAAI/EANN 2022, Chersonissos, Crete, Greece, June 17-20, 2022, Proceedings / edited by Lazaros Iliadis, Chrisina Jayne, Anastasios Tefas, Elias Pimenidis.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1600
- Communications in Computer and Information Science, 1865-0937 ; 1600
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Computer engineering.
- Computer networks.
- Social sciences-Data processing.
- Education-Data processing.
- Software engineering.
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Software Engineering.
- Local Subjects:
- Artificial Intelligence.
- Computer Engineering and Networks.
- Computer Application in Social and Behavioral Sciences.
- Computers and Education.
- Software Engineering.
- Physical Description:
- 1 online resource (XXIX, 530 pages) : 193 illustrations, 143 illustrations in color.
- Edition:
- 1st ed. 2022.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- System Details:
- text file PDF
- Summary:
- This book constitutes the refereed proceedings of the 23rd International Conference on Engineering Applications of Neural Networks, EANN 2022, held in Chersonisos, Crete, Greece, in June 2022. The 37 revised full papers and 5 revised short papers presented were carefully reviewed and selected from 72 submissions. The papers are organized in topical sections on Bio inspired Modeling / Novel Neural Architectures; Classification / Clustering; Machine Learning; Convolutional / Deep Learning; Datamining / Learning / Autoencoders; Deep Learning / Blockchain; Machine Learning for Medical Images / Genome Classification; Reinforcement /Adversarial / Echo State Neural Networks; Robotics / Autonomous Vehicles, Photonic Neural Networks; Text Classification / Natural Language.
- Contents:
- Bio inspired Modeling / Novel Neural Architectures
- Classification / Clustering - Machine Learning
- Convolutional / Deep Learning
- Datamining / Learning / Autoencoders
- Deep Learning / Blockchain
- Machine Learning for Medical Images / Genome Classification
- Reinforcement /Adversarial / Echo State Neural Networks
- Robotics / Autonomous Vehicles, Photonic Neural Networks
- Text Classification / Natural Language.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-031-08223-8
- 9783031082238
- Access Restriction:
- Restricted for use by site license.
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