Han Advances in Neural Networks – ISNN 2020

Advances in Neural Networks – ISNN 2020

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17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4–6, 2020, Proceedings

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Beschreibung

This volume LNCS 12557 constitutes the refereed proceedings of the 17th International Symposium on Neural Networks, ISNN 2020, held in Cairo, Egypt, in December 2020.

The 24 papers presented in the two volumes were carefully reviewed and selected from 39 submissions. The papers were organized in topical sections named: optimization algorithms; neurodynamics, complex systems, and chaos; supervised/unsupervised/reinforcement learning/deep learning; models, methods and algorithms; and signal, image and video processing.


Autor*in

Min Han

Themen in »Advances in Neural Networks – ISNN 2020«

artificial intelligence computer vision design and analysis of algorithms evolutionary algorithms genetic algorithms information theory information systems applications machine learning mathematical analysis models of computation neural networks theory and algorithms for application domains algorithm analysis and problem complexity

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Details

ISBN: 9783030642211
Verlag: Springer International Publishing
Erscheinung: 28.11.2020

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