找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Photonic Neural Networks with Spatiotemporal Dynamics; Paradigms of Computi Hideyuki Suzuki,Jun Tanida,Masanori Hashimoto Book‘‘‘‘‘‘‘‘ 2024

[復(fù)制鏈接]
查看: 40329|回復(fù): 35
樓主
發(fā)表于 2025-3-21 16:35:55 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Photonic Neural Networks with Spatiotemporal Dynamics
副標(biāo)題Paradigms of Computi
編輯Hideyuki Suzuki,Jun Tanida,Masanori Hashimoto
視頻videohttp://file.papertrans.cn/747/746599/746599.mp4
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
圖書封面Titlebook: Photonic Neural Networks with Spatiotemporal Dynamics; Paradigms of Computi Hideyuki Suzuki,Jun Tanida,Masanori Hashimoto Book‘‘‘‘‘‘‘‘ 2024
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
關(guān)鍵詞photonic neural network; spatiotemporal dynamics; optical computing; nonlinear dynamics; fluorescence en
版次1
doihttps://doi.org/10.1007/978-981-99-5072-0
isbn_softcover978-981-99-5074-4
isbn_ebook978-981-99-5072-0
copyrightThe Editor(s) (if applicable) and The Author(s) 2024
The information of publication is updating

書目名稱Photonic Neural Networks with Spatiotemporal Dynamics影響因子(影響力)




書目名稱Photonic Neural Networks with Spatiotemporal Dynamics影響因子(影響力)學(xué)科排名




書目名稱Photonic Neural Networks with Spatiotemporal Dynamics網(wǎng)絡(luò)公開度




書目名稱Photonic Neural Networks with Spatiotemporal Dynamics網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Photonic Neural Networks with Spatiotemporal Dynamics被引頻次




書目名稱Photonic Neural Networks with Spatiotemporal Dynamics被引頻次學(xué)科排名




書目名稱Photonic Neural Networks with Spatiotemporal Dynamics年度引用




書目名稱Photonic Neural Networks with Spatiotemporal Dynamics年度引用學(xué)科排名




書目名稱Photonic Neural Networks with Spatiotemporal Dynamics讀者反饋




書目名稱Photonic Neural Networks with Spatiotemporal Dynamics讀者反饋學(xué)科排名




單選投票, 共有 0 人參與投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:49:41 | 只看該作者
第146599主題貼--第2樓 (沙發(fā))
板凳
發(fā)表于 2025-3-22 02:35:23 | 只看該作者
板凳
地板
發(fā)表于 2025-3-22 07:19:02 | 只看該作者
第4樓
5#
發(fā)表于 2025-3-22 09:27:28 | 只看該作者
5樓
6#
發(fā)表于 2025-3-22 14:09:54 | 只看該作者
6樓
7#
發(fā)表于 2025-3-22 18:10:07 | 只看該作者
7樓
8#
發(fā)表于 2025-3-23 01:04:24 | 只看該作者
8樓
9#
發(fā)表于 2025-3-23 02:20:36 | 只看該作者
9樓
10#
發(fā)表于 2025-3-23 09:23:25 | 只看該作者
10樓
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-13 11:35
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
怀来县| 旬阳县| 仪征市| 通化市| 屏南县| 墨竹工卡县| 抚顺市| 乾安县| 鞍山市| 老河口市| 合山市| 望城县| 长顺县| 武汉市| 闸北区| 同仁县| 福贡县| 双辽市| 旺苍县| 龙江县| 南华县| 建湖县| 浑源县| 南漳县| 定边县| 壤塘县| 高雄市| 克东县| 信宜市| 阳城县| 龙岩市| 子洲县| 七台河市| 德江县| 大城县| 河间市| 临城县| 安新县| 盐边县| 临澧县| 大关县|