找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Artificial Intelligence and Soft Computing; 15th International C Leszek Rutkowski,Marcin Korytkowski,Jacek M. Zurad Conference proceedings

[復(fù)制鏈接]
樓主: 不服從
41#
發(fā)表于 2025-3-28 14:40:38 | 只看該作者
Paramilitaries, Republicans and Loyalistsd on a new idea of learning neural networks without error backpropagation. The proposed solution is based on completely new parallel structures to effectively reduce high computational load of this algorithm. Detailed parallel 2D and 3D neural network learning structures are explicitely discussed.
42#
發(fā)表于 2025-3-28 22:17:33 | 只看該作者
43#
發(fā)表于 2025-3-29 00:05:23 | 只看該作者
Leszek Rutkowski,Marcin Korytkowski,Jacek M. ZuradIncludes supplementary material:
44#
發(fā)表于 2025-3-29 05:46:19 | 只看該作者
45#
發(fā)表于 2025-3-29 11:02:53 | 只看該作者
46#
發(fā)表于 2025-3-29 14:47:58 | 只看該作者
978-3-319-39377-3Springer International Publishing Switzerland 2016
47#
發(fā)表于 2025-3-29 17:48:06 | 只看該作者
Criminal Justice and Emergency Lawsle for solving of a specific task. The ensemble is able to change its structure by choosing the electors with respect to their training performance. The proposed method is tested in practical regression tasks in civil engineering structures monitoring.
48#
發(fā)表于 2025-3-29 20:05:39 | 只看該作者
49#
發(fā)表于 2025-3-30 02:57:33 | 只看該作者
https://doi.org/10.1007/978-3-531-91703-0inuous space. The proposed algorithm is experimented on some practical regression problems and compared with other constructive algorithms. Results show that proposed OLS-PSO algorithm could achieve a compact SLFN with good generalization ability.
50#
發(fā)表于 2025-3-30 06:56:34 | 只看該作者
Ensemble ANN Classifier for Structural Health Monitoringle for solving of a specific task. The ensemble is able to change its structure by choosing the electors with respect to their training performance. The proposed method is tested in practical regression tasks in civil engineering structures monitoring.
 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, 2025-10-24 02:38
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
周至县| 鄱阳县| 泌阳县| 五河县| 南木林县| 阜南县| 溧水县| 洞头县| 阿鲁科尔沁旗| 张北县| 敦煌市| 白河县| 中山市| 定襄县| 桑日县| 宜宾市| 岱山县| 华池县| 正安县| 广河县| 哈巴河县| 廉江市| 鄂托克前旗| 西充县| 邢台县| 大城县| 桂平市| 涟水县| 玉林市| 布拖县| 稷山县| 宝应县| 宁陵县| 正安县| 黔西县| 同心县| 得荣县| 墨玉县| 曲水县| 芜湖市| 都兰县|