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: Neural Network Data Analysis Using Simulnet?; Edward J. Rzempoluck Book 1998 Springer Science+Business Media New York 1998 algorithms.corr

[復制鏈接]
樓主: 傷害
11#
發(fā)表于 2025-3-23 10:24:44 | 只看該作者
tudents to follow the text much easier than other books in a.The second edition of .Solar System Astrophysics: Background Science and the Inner Solar System. provides new insights into the burgeoning field of planetary astronomy. As in the first edition, this volume begins with a rigorous treatment
12#
發(fā)表于 2025-3-23 15:11:59 | 只看該作者
http://image.papertrans.cn/n/image/663683.jpg
13#
發(fā)表于 2025-3-23 19:05:41 | 只看該作者
14#
發(fā)表于 2025-3-23 23:07:34 | 只看該作者
978-1-4612-7262-5Springer Science+Business Media New York 1998
15#
發(fā)表于 2025-3-24 03:24:31 | 只看該作者
16#
發(fā)表于 2025-3-24 08:24:27 | 只看該作者
Data Analysis,This section will introduce a variety of approaches to the analysis of data. The primary focus will be on the application of neural network-based techniques to the tasks of prediction, classification, and function approximation. This section will therefore begin by discussing the following neural network functions that are available in Simulnet.
17#
發(fā)表于 2025-3-24 10:55:07 | 只看該作者
18#
發(fā)表于 2025-3-24 17:07:53 | 只看該作者
A Data Analysis Protocol,This section presents a protocol, a systematic procedure, that can be used as a guide through the steps involved in preprocessing and analyzing experimental data. In contrast with most other sections of this book, the present section is designed be applied to the reader’s own data.
19#
發(fā)表于 2025-3-24 22:24:08 | 只看該作者
Book 1998 run to generate an artificial analog of the physical data. Since data in virtually any native form can be expressed in numerical format, the scope of the analytical techniques and procedures that will be presented in this text is es- sentially unlimited. Sources of data include research work in a r
20#
發(fā)表于 2025-3-25 01:09:21 | 只看該作者
 關于派博傳思  派博傳思旗下網站  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 吾愛論文網 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 ( 京公網安備110108008328) GMT+8, 2025-10-21 03:48
Copyright © 2001-2015 派博傳思   京公網安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
大悟县| 雷波县| 勐海县| 沈丘县| 丹阳市| 东阿县| 合作市| 石柱| 龙门县| 深水埗区| 临潭县| 崇州市| 历史| 土默特左旗| 大冶市| 澄城县| 伊金霍洛旗| 讷河市| 福建省| 永嘉县| 洪洞县| 武安市| 兴安县| 田东县| 清河县| 宜君县| 长治县| 通化县| 黄浦区| 汕尾市| 上思县| 蕉岭县| 连州市| 东乡县| 大渡口区| 合阳县| 凭祥市| 达孜县| 府谷县| 文山县| 遂溪县|