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: Artificial Intelligence and Soft Computing; 20th International C Leszek Rutkowski,Rafa? Scherer,Jacek M. Zurada Conference proceedings 2021

[復制鏈接]
樓主: Hazardous
11#
發(fā)表于 2025-3-23 12:48:28 | 只看該作者
https://doi.org/10.1007/3-540-32986-2he relationship between the data and the decision is complex and/or the amount of data to transmit is large (e.g. in biologgers). Artificial Neural Networks (ANNs) can efficiently detect patterns in the input data which makes them suitable for decision making or compression of information for data t
12#
發(fā)表于 2025-3-23 14:54:31 | 只看該作者
Kontrastmittel und Pharmakologie on the QR decomposition. The paper describes mathematical background that needs to be considered during the application of the scaled Givens rotations in neural networks training. The paper concludes with sample simulation results.
13#
發(fā)表于 2025-3-23 22:02:59 | 只看該作者
Durchleuchtung und Subtraktionsangiographieethod converges relatively slowly. In this paper a new approach to the backpropagation algorithm is presented. The proposed solution speeds up the BP method by using vector calculations. This modification of the BP algorithm was tested on a few standard examples. The obtained performance of both met
14#
發(fā)表于 2025-3-23 23:32:05 | 只看該作者
Konventionelle R?ntgendiagnostikecently as a way of improving randomized learning of FNNs by adjusting the network parameters to the target function fluctuations. The method employs logistic sigmoid activation functions for hidden nodes. In this study, we introduce other activation functions, such as bipolar sigmoid, sine function
15#
發(fā)表于 2025-3-24 02:31:14 | 只看該作者
16#
發(fā)表于 2025-3-24 09:15:45 | 只看該作者
Kontrastmittel und Pharmakologieons within signal and image processing, engineering, biomedicine, analysis of economic time series, etc. We are interested in estimating trend under the presence of heteroscedastic errors in the model. So far, there seem no available studies of the performance of robust neural networks or the taut s
17#
發(fā)表于 2025-3-24 14:35:14 | 只看該作者
18#
發(fā)表于 2025-3-24 17:45:48 | 只看該作者
19#
發(fā)表于 2025-3-24 20:04:42 | 只看該作者
20#
發(fā)表于 2025-3-25 01:47:54 | 只看該作者
https://doi.org/10.1007/978-3-662-43713-1ls are the research area of many practitioners and theorists. The article aims at examining the impact of settings of various neural network parameters on the results of currency forecasts. The three currency pairs the US dollar, British pound, and Swiss franc to EUR were selected for the analysis.
 關于派博傳思  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 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-15 15:18
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
二连浩特市| 寿宁县| 大埔区| 家居| 精河县| 剑阁县| 凤冈县| 洪江市| 安远县| 日喀则市| 阜南县| 木里| 平原县| 城口县| 西藏| 巴中市| 邮箱| 岳西县| 上林县| 碌曲县| 克山县| 县级市| 钟山县| 余庆县| 珠海市| 潮安县| 隆昌县| 新宾| 寿阳县| 芦溪县| 古蔺县| 马尔康县| 龙胜| 西乌珠穆沁旗| 元朗区| 汨罗市| 阳西县| 吉安市| 屏山县| 永州市| 汶上县|