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: Dynamical Behaviors of Fractional-Order Complex Dynamical Networks; Jin-Liang Wang Book 2024 The Editor(s) (if applicable) and The Author(

[復制鏈接]
21#
發(fā)表于 2025-3-25 06:20:20 | 只看該作者
Biomass conversion in South Africa,mical behaviors for numerous real systems such as urban subway networks, intercity population flow networks, public traffic roads networks and so forth. Up to now, various dynamical behaviors (e.g., synchronization, passivity, stability and so on) for many different kinds of CNs have been fully expl
22#
發(fā)表于 2025-3-25 11:20:21 | 只看該作者
https://doi.org/10.1007/978-3-476-05008-3rently depend on the stability of NNs. Therefore, a large number of stability results for all kinds of NNs have been given in recent years [.,.,.,.,.,.,.,.]. Li et al. [.] introduced a state-dependent switched fuzzy NN including discrete delay and distributed delay, and developed several exponential
23#
發(fā)表于 2025-3-25 14:07:45 | 只看該作者
24#
發(fā)表于 2025-3-25 19:31:20 | 只看該作者
have been extensively explored, which is not only beneficial to better understand the dynamical characteristics of the NNs but also to make better use of these dynamical behaviors in many fields such as model identification, parallel computation and combinatorial optimization.
25#
發(fā)表于 2025-3-25 23:24:31 | 只看該作者
26#
發(fā)表于 2025-3-26 03:14:42 | 只看該作者
27#
發(fā)表于 2025-3-26 05:13:41 | 只看該作者
https://doi.org/10.1007/978-1-84628-995-8n to the dynamical behaviors (such as passivity [., .], synchronization [.,.,.,.,.] and stability [.]) for CDNs, which is not only useful to have a better understanding of many natural phenomena but also beneficial to better take advantage of these dynamical behaviors.
28#
發(fā)表于 2025-3-26 10:59:18 | 只看該作者
29#
發(fā)表于 2025-3-26 14:31:46 | 只看該作者
30#
發(fā)表于 2025-3-26 17:32:37 | 只看該作者
 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 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 05:09
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 返回頂部 返回列表
莒南县| 大足县| 绥芬河市| 靖远县| 景德镇市| 庐江县| 铁力市| 卓尼县| 金门县| 铜川市| 石家庄市| 邳州市| 永平县| 铜山县| 崇义县| 临夏县| 东海县| 綦江县| 潮州市| 鄂尔多斯市| 安新县| 怀宁县| 潞西市| 海南省| 梁河县| 景洪市| 广西| 怀安县| 施秉县| 乌恰县| 洪湖市| 新田县| 息烽县| 嘉禾县| 云梦县| 张家港市| 焦作市| 全南县| 通州区| 武邑县| 资阳市|