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: System Analysis and Artificial Intelligence; Michael Zgurovsky,Nataliya Pankratova Book 2023 The Editor(s) (if applicable) and The Author(

[復(fù)制鏈接]
樓主: Holter-monitor
21#
發(fā)表于 2025-3-25 07:16:51 | 只看該作者
22#
發(fā)表于 2025-3-25 08:53:52 | 只看該作者
23#
發(fā)表于 2025-3-25 12:31:54 | 只看該作者
24#
發(fā)表于 2025-3-25 16:59:52 | 只看該作者
25#
發(fā)表于 2025-3-25 21:40:13 | 只看該作者
Book 2023eas: systems analysis, artificial intelligence and data mining. The included articles present the theoretical foundations and practical applications of the latest tools and methods of artificial intelligence, scenario planning, decision making and computational intelligence for important areas of hu
26#
發(fā)表于 2025-3-26 00:48:19 | 只看該作者
Functional Planning Optimization of Exploiting Underground Space in Large Cities Using System Methodsing the potential of underground construction territories, synthesizing the functional planning organization of city space, and the geology engineering factors of underground environment. The parameters of these morphological tables represent a wide spectrum of city building conditions, generalized for surface and underground urban development.
27#
發(fā)表于 2025-3-26 07:33:42 | 只看該作者
Analysis and Modelling of the Underground Tunnel Planning in?Uncertainty Conditions the foresight stage. The application of cognitive impulse modeling makes it possible to build scenarios for underground tunnels, taking into account uncertainties of various kinds, to analyze the impact of any threats types on them, to select the more reliable ones and justify of their creation priority.
28#
發(fā)表于 2025-3-26 10:05:59 | 只看該作者
29#
發(fā)表于 2025-3-26 16:00:29 | 只看該作者
K-LR Modeling with Neural Economy and Its Utilization in Unclear Dataws the model to adapt to changes in the data over time and improve its accuracy and generalization performance. Finally, we propose some possible extensions and alternatives to K-LR, e.g. B. The integration of nonlinear functions and deep learning architectures is discussed, as well as the limitations and trade-offs of these approaches.
30#
發(fā)表于 2025-3-26 18:37:56 | 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(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(píng) 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(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-22 13:15
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
遵义市| 云南省| 曲阳县| 嘉祥县| 陇川县| 吉隆县| 盘锦市| 尚志市| 岳普湖县| 申扎县| 达州市| 吉安县| 通化市| 阿拉尔市| 云安县| 东港市| 博野县| 石首市| 馆陶县| 自贡市| 崇义县| 商洛市| 奉新县| 读书| 威信县| 鄂尔多斯市| 大宁县| 枝江市| 渭源县| 缙云县| 江阴市| 厦门市| 甘洛县| 红桥区| 慈溪市| 确山县| 略阳县| 西吉县| 闽侯县| 汕头市| 晋宁县|