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
北票市| 白银市| 思茅市| 灵石县| 彩票| 弋阳县| 布拖县| 延庆县| 乃东县| 藁城市| 峨边| 育儿| 中阳县| 丰原市| 双牌县| 信阳市| 同德县| 当涂县| 儋州市| 牙克石市| 无为县| 浙江省| 台中市| 遵义市| 扬中市| 成武县| 疏勒县| 上蔡县| 沙坪坝区| 雷波县| 常宁市| 五峰| 罗源县| 张北县| 普格县| 上饶市| 平山县| 灵璧县| 和田市| 潜江市| 集贤县|