Advances in Neural Networks – ISNN 2020
Download or Read eBook Advances in Neural Networks – ISNN 2020 PDF written by Min Han and published by Springer Nature. This book was released on 2020-11-28 with total page 284 pages. Available in PDF, EPUB and Kindle.
| Author | : Min Han |
| Publisher | : Springer Nature |
| Total Pages | : 284 |
| Release | : 2020-11-28 |
| ISBN-10 | : 9783030642211 |
| ISBN-13 | : 3030642216 |
| Rating | : 4/5 (11 Downloads) |
Book Synopsis Advances in Neural Networks – ISNN 2020 by : Min Han
Book excerpt: 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.
