Advances in Neural Networks – ISNN 2020

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  • Advances in Neural Networks – ISNN 2020 Book Detail

  • Author : Min Han
  • Release Date : 2020-11-28
  • Publisher : Springer Nature
  • Genre : Computers
  • Pages : 284
  • ISBN 13 : 3030642216
  • File Size : 99,99 MB

Advances in Neural Networks – ISNN 2020 by Min Han PDF Summary

Book Description: 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.

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Advances in Neural Networks – ISNN 2020

Advances in Neural Networks – ISNN 2020

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

Advances in Neural Networks - ISNN 2004

Advances in Neural Networks - ISNN 2004

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This book constitutes the proceedings of the International Symposium on Neural N- works (ISNN 2004) held in Dalian, Liaoning, China duringAugust 19–21, 2004.

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This book provides a complete study on neural structures exhibiting nonlinear and stochastic dynamics, elaborating on neural dynamics by introducing advanced mo

Advances in Neural Networks -- ISNN 2010

Advances in Neural Networks -- ISNN 2010

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This book and its sister volume constitutes the proceedings of the 7th International Symposium on Neural Networks, ISNN 2010, held in Shanghai, China, June 6-9,