| 书目名称 | Photonic Neural Networks with Spatiotemporal Dynamics | | 副标题 | Paradigms of Computi | | 编辑 | Hideyuki Suzuki,Jun Tanida,Masanori Hashimoto | | 视频video | | | 概述 | Offers novel multidisciplinary viewpoints on photonic neural networks.Covers both mathematical models and physical implementation of photonic neural networks.This book is open access, which means that | | 图书封面 |  | | 描述 | .This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics.. .The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies by collaborative researchers from the three fields of nonlinear mathematical science, information photonics, and integrated systems engineering. This book offers novel multidisciplinary viewpoints on photonic neural networks, illustrating recent advances in three types of computing methodologies: fluorescence energy transfer computing, spatial-photonic spin system, and photonic reservoir computing.. .The book consists of four parts: Part I introduces the backgrounds of optical computing and neural network dynamics; Part II presents fluorescence energy transfer computing, a novel computing technology based on nanoscale networks of fluorescent particles; Parts III and IV review the models and implementation of spatial-photonic spin systems and photonic reservoir computing, respectively. .These contents are beneficial to researchers in a broad range of fields, including information science, mathematical science, applied physics, and engineering, to better un | | 出版日期 | Book‘‘‘‘‘‘‘‘ 2024 | | 关键词 | photonic neural network; spatiotemporal dynamics; optical computing; nonlinear dynamics; fluorescence en | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-5072-0 | | isbn_softcover | 978-981-99-5074-4 | | isbn_ebook | 978-981-99-5072-0 | | copyright | The Editor(s) (if applicable) and The Author(s) 2024 |
The information of publication is updating
|
|
发表于 2025-3-21 16:35:55
