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: Genetic Programming Theory and Practice XVII; Wolfgang Banzhaf,Erik Goodman,Bill Worzel Book 2020 Springer Nature Switzerland AG 2020 Gene

[復(fù)制鏈接]
查看: 21932|回復(fù): 65
樓主
發(fā)表于 2025-3-21 18:59:29 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Genetic Programming Theory and Practice XVII
編輯Wolfgang Banzhaf,Erik Goodman,Bill Worzel
視頻videohttp://file.papertrans.cn/383/382613/382613.mp4
概述Provides contributions describing cutting-edge work on the theory and applications of genetic programming (GP).Offers large-scale, real-world applications (big data) of GP to a variety of problem doma
叢書名稱Genetic and Evolutionary Computation
圖書封面Titlebook: Genetic Programming Theory and Practice XVII;  Wolfgang Banzhaf,Erik Goodman,Bill Worzel Book 2020 Springer Nature Switzerland AG 2020 Gene
描述.These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.? In this year’s edition, the topics covered include many of the most important issues and research questions in the ?eld, such as: opportune application domains for GP-based methods, game playing and co-evolutionary search, symbolic regression and ef?cient learning strategies, encodings and representations for GP, schema theorems, and new selection mechanisms.The volume includes several chapters on best practices and lessons learned from hands-on experience. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results..
出版日期Book 2020
關(guān)鍵詞Genetic Programming; Genetic Programming Theory; Genetic Programming Applications; Symbolic Regression;
版次1
doihttps://doi.org/10.1007/978-3-030-39958-0
isbn_softcover978-3-030-39960-3
isbn_ebook978-3-030-39958-0Series ISSN 1932-0167 Series E-ISSN 1932-0175
issn_series 1932-0167
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

書目名稱Genetic Programming Theory and Practice XVII影響因子(影響力)




書目名稱Genetic Programming Theory and Practice XVII影響因子(影響力)學(xué)科排名




書目名稱Genetic Programming Theory and Practice XVII網(wǎng)絡(luò)公開度




書目名稱Genetic Programming Theory and Practice XVII網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Genetic Programming Theory and Practice XVII被引頻次




書目名稱Genetic Programming Theory and Practice XVII被引頻次學(xué)科排名




書目名稱Genetic Programming Theory and Practice XVII年度引用




書目名稱Genetic Programming Theory and Practice XVII年度引用學(xué)科排名




書目名稱Genetic Programming Theory and Practice XVII讀者反饋




書目名稱Genetic Programming Theory and Practice XVII讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

1票 100.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

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 23:37:21 | 只看該作者
板凳
發(fā)表于 2025-3-22 00:33:04 | 只看該作者
地板
發(fā)表于 2025-3-22 06:29:15 | 只看該作者
5#
發(fā)表于 2025-3-22 12:17:38 | 只看該作者
6#
發(fā)表于 2025-3-22 16:20:50 | 只看該作者
7#
發(fā)表于 2025-3-22 19:11:16 | 只看該作者
https://doi.org/10.1007/978-3-642-13148-6on items to increase competitive presence of GP in Data Science business applications include: develop a successful marketing strategy toward statistical, machine/deep learning, and business communities; broaden application areas; improve professional development tools; and increase GP visibility and teaching in Data Science classes.
8#
發(fā)表于 2025-3-22 22:41:35 | 只看該作者
9#
發(fā)表于 2025-3-23 01:43:43 | 只看該作者
https://doi.org/10.1007/978-3-662-26471-3rovide empirical evidence to support our model. The chapter closes with an outline of a modification of the standard GP algorithm that reinforces this bias by converging populations to fit schemata in an accelerated way.
10#
發(fā)表于 2025-3-23 09:02:29 | 只看該作者
How Competitive Is Genetic Programming in Business Data Science Applications?,on items to increase competitive presence of GP in Data Science business applications include: develop a successful marketing strategy toward statistical, machine/deep learning, and business communities; broaden application areas; improve professional development tools; and increase GP visibility and teaching in Data Science classes.
 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 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) 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, 2025-10-13 05:04
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
鹤庆县| 宜城市| 循化| 镇雄县| 冀州市| 东源县| 武穴市| 黑山县| 鄂尔多斯市| 琼海市| 汝南县| 赣榆县| 互助| 京山县| 台湾省| 安阳市| 云林县| 青州市| 巩留县| 海盐县| 潮州市| 桑日县| 临西县| 乐陵市| 洛隆县| 阿荣旗| 遂川县| 林州市| 珲春市| 金溪县| 汉川市| 舞钢市| 遂昌县| 老河口市| 吉首市| 福州市| 临城县| 新龙县| 宣城市| 民和| 德江县|