找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Researching Mathematical Modelling Education in Disruptive Times; Hans-Stefan Siller,Vince Geiger,Gabriele Kaiser Book 2024 The Editor(s)

[复制链接]
查看: 9537|回复: 54
发表于 2025-3-21 18:27:03 | 显示全部楼层 |阅读模式
书目名称Researching Mathematical Modelling Education in Disruptive Times
编辑Hans-Stefan Siller,Vince Geiger,Gabriele Kaiser
视频video
概述Includes case studies describing implementation of mathematical modeling in practice.Points out directions of further innovations in mathematical modeling education.Contains high-level research of mat
丛书名称International Perspectives on the Teaching and Learning of Mathematical Modelling
图书封面Titlebook: Researching Mathematical Modelling Education in Disruptive Times;  Hans-Stefan Siller,Vince Geiger,Gabriele Kaiser Book 2024 The Editor(s)
描述.This edited volume documents research on mathematical modelling education, before, during, and after the Covid 19 pandemic. Mathematical modelling is essential for understanding natural and human generated phenomena, and informs decision-making about events such as the pandemic, climate change, and other disruptive events. Communication to the public, often by the media, makes use of mathematical modelling to justify changes to public policy, as seen during the COVID-19 crisis. Consequently, mathematical modelling has assumed an increasingly prominent role in curricula internationally, providing opportunities to understand how it is used in current circumstances and to plan for the needs of future societies. This book focuses on research on mathematical modelling education and its implementation at school and tertiary level. Contributions to the book and point to directions for further innovation in mathematical modelling education...Authors of this volume are members of the International Community of Teachers of Mathematical Modelling, the peak research body for the teaching and learning of mathematical modelling..
出版日期Book 2024
关键词International research on mathematical modelling; Technology and mathematical modelling education; Tea
版次1
doihttps://doi.org/10.1007/978-3-031-53322-8
isbn_softcover978-3-031-53324-2
isbn_ebook978-3-031-53322-8Series ISSN 2211-4920 Series E-ISSN 2211-4939
issn_series 2211-4920
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

书目名称Researching Mathematical Modelling Education in Disruptive Times影响因子(影响力)




书目名称Researching Mathematical Modelling Education in Disruptive Times影响因子(影响力)学科排名




书目名称Researching Mathematical Modelling Education in Disruptive Times网络公开度




书目名称Researching Mathematical Modelling Education in Disruptive Times网络公开度学科排名




书目名称Researching Mathematical Modelling Education in Disruptive Times被引频次




书目名称Researching Mathematical Modelling Education in Disruptive Times被引频次学科排名




书目名称Researching Mathematical Modelling Education in Disruptive Times年度引用




书目名称Researching Mathematical Modelling Education in Disruptive Times年度引用学科排名




书目名称Researching Mathematical Modelling Education in Disruptive Times读者反馈




书目名称Researching Mathematical Modelling Education in Disruptive Times读者反馈学科排名




单选投票, 共有 0 人参与投票
 

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

您所在的用户组没有投票权限
发表于 2025-3-21 23:59:31 | 显示全部楼层
classifier in dealing with uncertain data, we propose a new possibilistic evolutionary detection method, named ADIPOK (Anti-patterns Detection and Identification using Possibilistic Optimized K-NNs), that is able to deal with label uncertainty using some concepts stemming from the Possibility theory
发表于 2025-3-22 03:23:09 | 显示全部楼层
ze and power consumption. The most suitable approximate multipliers are automatically selected from a library of approximate multipliers. Evolved CNNs are compared with common human-created CNNs of a similar complexity on the CIFAR-10 benchmark problem.
发表于 2025-3-22 07:01:31 | 显示全部楼层
发表于 2025-3-22 11:25:29 | 显示全部楼层
Vince Geiger thus obtaining a tighter bound for .[.(., . + 1)]. This bound is a function of the selection probabilities of the schema itself and of a set of lower-order schemata which one-point crossover uses to build instances of the schema. This result supports the existence of building blocks in GP which, ho
发表于 2025-3-22 13:07:19 | 显示全部楼层
Xiaoli Lu,Huimin Maor classification with missing data that uses genetic programming as a regression method to impute missing values. The experiments on six benchmark datasets and five popular classifiers compare GPI with five other popular and advanced regression-based imputation methods in MICE on two measures: clas
发表于 2025-3-22 20:00:56 | 显示全部楼层
发表于 2025-3-22 22:20:20 | 显示全部楼层
Katrin Vorhölteric Programming (MLGP) approach, which has never been applied to JSS problems. Second, we extend an existing approach for a static JSS problem, called Ensemble Genetic Programming for Job Shop Scheduling (EGP-JSS), by adding “less-myopic” terminals that take job and machine attributes outside of the
发表于 2025-3-23 05:23:59 | 显示全部楼层
发表于 2025-3-23 06:24:04 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-1 12:19
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表