找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪(fǎng)問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Extreme Learning Machines 2013: Algorithms and Applications; Fuchen Sun,Kar-Ann Toh,Kezhi Mao Book 2014 Springer International Publishing

[復(fù)制鏈接]
查看: 15936|回復(fù): 54
樓主
發(fā)表于 2025-3-21 20:09:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Extreme Learning Machines 2013: Algorithms and Applications
編輯Fuchen Sun,Kar-Ann Toh,Kezhi Mao
視頻videohttp://file.papertrans.cn/321/320029/320029.mp4
概述Explains the most recent developments of Extreme Learning Machines.Includes theories and algorithms such as universal approximation and convergence, robustness and stability analysis, real-time learni
叢書(shū)名稱(chēng)Adaptation, Learning, and Optimization
圖書(shū)封面Titlebook: Extreme Learning Machines 2013: Algorithms and Applications;  Fuchen Sun,Kar-Ann Toh,Kezhi Mao Book 2014 Springer International Publishing
描述.In recent years, ELM has emerged as a revolutionary technique of computational intelligence, and has attracted considerable attentions. An extreme learning machine (ELM) is a single layer feed-forward neural network alike learning system, whose connections from the input layer to the hidden layer are randomly generated, while the connections from the hidden layer to the output layer are learned through linear learning methods. The outstanding merits of extreme learning machine (ELM) are its fast learning speed, trivial human intervene and high scalability..This book contains some selected papers from the International Conference on Extreme Learning Machine 2013, which was held in Beijing China, October 15-17, 2013. This conference aims to bring together the researchers and practitioners of extreme learning machine from a variety of fields including artificial intelligence, biomedical engineering and bioinformatics, system modelling and control, and signal and image processing, to promote research and discussions of “l(fā)earning without iterative tuning"..This book covers algorithms and applications of ELM. It gives readers a glance of the newest developments of ELM..
出版日期Book 2014
關(guān)鍵詞Computational Intelligence; Extreme Learning Machines; Kernel Based Algorithms; Real-Time Learning/Reas
版次1
doihttps://doi.org/10.1007/978-3-319-04741-6
isbn_softcover978-3-319-35003-5
isbn_ebook978-3-319-04741-6Series ISSN 1867-4534 Series E-ISSN 1867-4542
issn_series 1867-4534
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

書(shū)目名稱(chēng)Extreme Learning Machines 2013: Algorithms and Applications影響因子(影響力)




書(shū)目名稱(chēng)Extreme Learning Machines 2013: Algorithms and Applications影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Extreme Learning Machines 2013: Algorithms and Applications網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Extreme Learning Machines 2013: Algorithms and Applications網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Extreme Learning Machines 2013: Algorithms and Applications被引頻次




書(shū)目名稱(chēng)Extreme Learning Machines 2013: Algorithms and Applications被引頻次學(xué)科排名




書(shū)目名稱(chēng)Extreme Learning Machines 2013: Algorithms and Applications年度引用




書(shū)目名稱(chēng)Extreme Learning Machines 2013: Algorithms and Applications年度引用學(xué)科排名




書(shū)目名稱(chēng)Extreme Learning Machines 2013: Algorithms and Applications讀者反饋




書(shū)目名稱(chēng)Extreme Learning Machines 2013: Algorithms and Applications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(hù)組沒(méi)有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 20:28:18 | 只看該作者
板凳
發(fā)表于 2025-3-22 03:23:11 | 只看該作者
地板
發(fā)表于 2025-3-22 04:38:29 | 只看該作者
5#
發(fā)表于 2025-3-22 10:41:22 | 只看該作者
6#
發(fā)表于 2025-3-22 15:04:00 | 只看該作者
A Stock Decision Support System Based on ELM,ainty and noise, prediction is full of challenging and risk when it comes to stock markets. This chapter combines extreme learning machine (ELM) and the Oscillation box theory together to construct a stock decision support system, which can help people make decisions on stock trading through suggest
7#
發(fā)表于 2025-3-22 17:49:35 | 只看該作者
Robust Face Detection Using Multi-Block Local Gradient Patterns and Extreme Learning Machine,res in the way similar to local gradient patterns (LGP) however, the gradient of pixels in LGP was replaced by the counterparts of square image areas in MB-LGP. We have proved that the MB-LGP has most of the advantages of LGP and moreover with a stronger discriminant power and better robustness agai
8#
發(fā)表于 2025-3-22 21:51:55 | 只看該作者
9#
發(fā)表于 2025-3-23 01:58:14 | 只看該作者
ELM-Based Adaptive Live Migration Approach of Virtual Machines, machines is the core and key technique of virtualization fields, but the existing pre-copy live migration approach has the problems of low copy efficiency and long total migration time, so we propose an extreme learning machine (ELM) based adaptive live migration approach of virtual machines (ELMBA
10#
發(fā)表于 2025-3-23 09:28:37 | 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(wù)流程 影響因子官網(wǎng) 吾愛(ài)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, 2025-10-14 04:03
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
织金县| 沧源| 黔西| 闻喜县| 来宾市| 巴林左旗| 建昌县| 宁波市| 永济市| 金溪县| 囊谦县| 和硕县| 教育| 广河县| 宣威市| 南充市| 娄底市| 绥滨县| 徐州市| 新民市| 门头沟区| 潞西市| 婺源县| 亳州市| 平潭县| 奇台县| 梁平县| 宁阳县| 库伦旗| 开鲁县| 漳州市| 申扎县| 花莲市| 萍乡市| 定边县| 栾川县| 石柱| 西宁市| 宁德市| 苍溪县| 滦南县|