Advances in Neural Computation, Machine Learning, and Cognitive Research VII: Selected Papers from the XXV International Conference on Neuroinformatic
暫譯: 神經計算、機器學習與認知研究進展 VII:第 XXV 屆國際神經資訊會議選定論文
Kryzhanovsky, Boris, Dunin-Barkowski, Witali, Redko, Vladimir
- 出版商: Springer
- 出版日期: 2024-10-12
- 售價: $9,830
- 貴賓價: 9.5 折 $9,339
- 語言: 英文
- 頁數: 501
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031448677
- ISBN-13: 9783031448676
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相關分類:
Machine Learning
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相關主題
商品描述
This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain-computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia.
商品描述(中文翻譯)
本書描述了人工神經網絡的新理論和應用,特別著重於回答神經科學、生物學、生物物理學和認知研究中的問題。內容涵蓋了廣泛的方法和技術,包括深度神經網絡、大規模神經模型、腦機介面、信號處理方法,以及感知模型、情感識別研究、自組織等多個主題。本書包含了在2023年10月23日至27日於俄羅斯莫斯科舉行的第XXV屆國際神經資訊學會議上發表的選定和邀請論文。