Artificial Neural Networks and Machine Learning - ICANN 2022  31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part III /  [electronic resource] : 
edited by Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin. 
 - 1st ed. 2022. 
 - XXII, 813 p. 312 illus., 280 illus. in color.  online resource. 
 - Lecture Notes in Computer Science,  13531  1611-3349 ; .
 - Lecture Notes in Computer Science,  13531 .
<br/><br/>Deep Learning -- , Neural Network Theory -- Relational Learning, Reinforcement Learning -- Natural language processing, Generative Models -- Graphical Models, Recommender Systems -- Image Processing, Recurrent Networks -- Evolutionary Neural Networks -- Unsupervised Neural Networks -- Neural Network Models. 
<br/><br/> The 4-volumes set of LNCS 13529, 13530, 13531, and 13532 constitutes the proceedings of the 31st International Conference on Artificial Neural Networks, ICANN 2022, held in Bristol, UK, in September 2022. The total of 255 full papers presented in these proceedings was carefully reviewed and selected from 561 submissions. ICANN 2022 is a dual-track conference featuring tracks in brain inspired computing and machine learning and artificial neural networks, with strong cross-disciplinary interactions and applications. 
<br/><br/><label>ISBN: </label>9783031159343 
<br/><br/><label>Standard No.: </label>10.1007/978-3-031-15934-3  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Artificial intelligence.<br/>Application software.<br/>Image processing--Digital techniques.<br/>Computer vision.<br/>Computer engineering.<br/>Computer networks .<br/>Artificial Intelligence.<br/>Computer and Information Systems Applications.<br/>Computer Imaging, Vision, Pattern Recognition and Graphics.<br/>Computer Engineering and Networks.
<br/><br/><label>LC Class. No.: </label>Q334-342 TA347.A78 
<br/><br/><label>Dewey Class. No.: </label>006.3