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: Advances in Neural Computation, Machine Learning, and Cognitive Research VII; Selected Papers from Boris Kryzhanovsky,Witali Dunin-Barkowsk

[復(fù)制鏈接]
查看: 20080|回復(fù): 56
樓主
發(fā)表于 2025-3-21 19:37:26 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Advances in Neural Computation, Machine Learning, and Cognitive Research VII
期刊簡(jiǎn)稱Selected Papers from
影響因子2023Boris Kryzhanovsky,Witali Dunin-Barkowski,Valentin
視頻videohttp://file.papertrans.cn/150/149137/149137.mp4
發(fā)行地址Reports on advanced theories and applications of artificial neural networks.Focuses on problems in neuroscience, systems biophysics, cognitive research, and adaptive control.Merges topics in neurobiol
學(xué)科分類Studies in Computational Intelligence
圖書封面Titlebook: Advances in Neural Computation, Machine Learning, and Cognitive Research VII; Selected Papers from Boris Kryzhanovsky,Witali Dunin-Barkowsk
影響因子.This book describes new theories and applications of artificial neural networks, with a special focus on answering questions in neuroscience, biology and biophysics and cognitive research. It covers a wide range of methods and technologies, including deep neural networks, large-scale neural models, brain–computer interface, signal processing methods, as well as models of perception, studies on emotion recognition, self-organization and many more. The book includes both selected and invited papers presented at the XXV International Conference on Neuroinformatics, held on October 23-27, 2023, in Moscow, Russia..
Pindex Conference proceedings 2023
The information of publication is updating

書目名稱Advances in Neural Computation, Machine Learning, and Cognitive Research VII影響因子(影響力)




書目名稱Advances in Neural Computation, Machine Learning, and Cognitive Research VII影響因子(影響力)學(xué)科排名




書目名稱Advances in Neural Computation, Machine Learning, and Cognitive Research VII網(wǎng)絡(luò)公開度




書目名稱Advances in Neural Computation, Machine Learning, and Cognitive Research VII網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances in Neural Computation, Machine Learning, and Cognitive Research VII被引頻次




書目名稱Advances in Neural Computation, Machine Learning, and Cognitive Research VII被引頻次學(xué)科排名




書目名稱Advances in Neural Computation, Machine Learning, and Cognitive Research VII年度引用




書目名稱Advances in Neural Computation, Machine Learning, and Cognitive Research VII年度引用學(xué)科排名




書目名稱Advances in Neural Computation, Machine Learning, and Cognitive Research VII讀者反饋




書目名稱Advances in Neural Computation, Machine Learning, and Cognitive Research VII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 21:45:15 | 只看該作者
978-3-031-44867-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
板凳
發(fā)表于 2025-3-22 01:21:24 | 只看該作者
Boris Kryzhanovsky,Witali Dunin-Barkowski,ValentinReports on advanced theories and applications of artificial neural networks.Focuses on problems in neuroscience, systems biophysics, cognitive research, and adaptive control.Merges topics in neurobiol
地板
發(fā)表于 2025-3-22 05:38:28 | 只看該作者
Studies in Computational Intelligencehttp://image.papertrans.cn/a/image/149137.jpg
5#
發(fā)表于 2025-3-22 10:46:48 | 只看該作者
6#
發(fā)表于 2025-3-22 14:11:59 | 只看該作者
7#
發(fā)表于 2025-3-22 20:12:07 | 只看該作者
8#
發(fā)表于 2025-3-22 23:29:01 | 只看該作者
Stefanos Gritzalis,Diomidis Spinellisch require the presence of a substantially sized annotated dataset, recent works aiming to utilize pretrained extractive question-answering (QA) models have shown significant few and zero-shot capabilities. This work aims to further investigate their applicability in zero-shot setting i.e. without e
9#
發(fā)表于 2025-3-23 03:30:02 | 只看該作者
MMIP — Mixed Mobile Internet Protocolin detailed 3D point clouds of scanned areas, significantly increasing the efficiency of identification. The breakthrough in 3D object classification has opened new opportunities for the practical application of deep learning methods to identify forest tree species, which is a key task for forest ma
10#
發(fā)表于 2025-3-23 07:27:57 | 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, 2025-10-31 21:44
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
临澧县| 海口市| 菏泽市| 喀什市| 思南县| 和田市| 莫力| 淮阳县| 方正县| 牡丹江市| 伊宁县| 茶陵县| 万全县| 扎鲁特旗| 淳化县| 含山县| 岐山县| 宁安市| 保康县| 历史| 固镇县| 揭阳市| 疏附县| 蒲城县| 额敏县| 长白| 榆中县| 乌海市| 锦州市| 新建县| 修武县| 重庆市| 通海县| 读书| 灵台县| 高平市| 辽宁省| 无为县| 苏尼特左旗| 莱芜市| 东至县|