| 书目名称 | Supervised Learning with Complex-valued Neural Networks |
| 编辑 | Sundaram Suresh,Narasimhan Sundararajan,Ramasamy S |
| 视频video | |
| 概述 | This book covers recent developments and applications in the area of complex-valued neural networks.This book especially addresses researchers and engineers working in the areas of neural networks, co |
| 丛书名称 | Studies in Computational Intelligence |
| 图书封面 |  |
| 描述 | .Recent advancements in the field of telecommunications, medical imaging and signal processing deal with signals that are inherently time varying, nonlinear and complex-valued. The time varying, nonlinear characteristics of these signals can be effectively analyzed using artificial neural networks. Furthermore, to efficiently preserve the physical characteristics of these complex-valued signals, it is important to develop complex-valued neural networks and derive their learning algorithms to represent these signals at every step of the learning process. This monograph comprises a collection of new supervised learning algorithms along with novel architectures for complex-valued neural networks. The concepts of meta-cognition equipped with a self-regulated learning have been known to be the best human learning strategy. In this monograph, the principles of meta-cognition have been introduced for complex-valued neural networks in both the batch and sequential learning modes. For applications where the computation time of the training process is critical, a fast learning complex-valued neural network called as a fully complex-valued relaxation network along with its learning algorithm |
| 出版日期 | Book 2013 |
| 关键词 | Adaptive Beam-Forming; Batch/Sequential Learning; Complex-Valued Multi-Layer Perception; Complex-Valued |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-642-29491-4 |
| isbn_softcover | 978-3-642-42679-7 |
| isbn_ebook | 978-3-642-29491-4Series ISSN 1860-949X Series E-ISSN 1860-9503 |
| issn_series | 1860-949X |
| copyright | Springer-Verlag Berlin Heidelberg 2013 |
发表于 2025-3-21 18:40:44
