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Advances in neural computation, mach...

(1998 :)

Advances in neural computation, machine learning, and cognitive research IIIselected papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in neural computation, machine learning, and cognitive research IIIedited by Boris Kryzhanovsky ... [et al.].
其他題名:	selected papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia /
其他題名:	Advances in neural computation, machine learning, and cognitive research 3
其他作者:	Kryzhanovsky, Boris.
團體作者:
出版者:	Cham :Springer International Publishing :2020.
面頁冊數:	xvii, 428 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Neural networks (Computer science)
電子資源:	https://doi.org/10.1007/978-3-030-30425-6
ISBN:	9783030304256$q(electronic bk.)

Advances in neural computation, machine learning, and cognitive research IIIselected papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia /
Advances in neural computation, machine learning, and cognitive research IIIselected papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia /[electronic resource] :Advances in neural computation, machine learning, and cognitive research 3edited by Boris Kryzhanovsky ... [et al.]. - Cham :Springer International Publishing :2020. - xvii, 428 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.8561860-949X ;. - Studies in computational intelligence ;v. 216..

Preface -- Part I: Invited Papers -- Chapter 1. Deep Learning a Single Photo Voxel Model Prediction from Real and Synthetic Images -- Chapter 2. Tensor Train Neural Networks in Retail Operations -- Chapter 3. Semi-Empirical Neural Network Based Modeling and Identification of Controlled Dynamical Systems, etc.

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 XXI International Conference on Neuroinformatics, held on October 7-11, 2019, in Dolgoprudny, a town in Moscow region, Russia.

ISBN: 9783030304256$q(electronic bk.)

Standard No.: 10.1007/978-3-030-30425-6doiSubjects--Topical Terms:

181982
Neural networks (Computer science)

LC Class. No.: QA76.87 / .I58 2019

Dewey Class. No.: 006.32

Advances in neural computation, machine learning, and cognitive research IIIselected papers from the XXI International Conference on Neuroinformatics, October 7-11, 2019, Dolgoprudny, Moscow Region, Russia /
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