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: Bio-Mimetic Approaches in Management Science; Jacques-Marie Aurifeille (Director of the GREGEOI) Book 1998 Springer Science+Business Media

[复制链接]
楼主: miserly
发表于 2025-3-28 17:42:49 | 显示全部楼层
发表于 2025-3-28 21:04:32 | 显示全部楼层
发表于 2025-3-29 02:17:59 | 显示全部楼层
Schriften zur Mittelstandsforschung of a time series. Once an efficient stochastic model of the series has been learned, this model can be used to predict the next values of the series. We apply this framework to several standard series including economical ones.
发表于 2025-3-29 06:54:52 | 显示全部楼层
Hybrid Genetic Learning of Hidden Markov Models for Time Series Prediction, of a time series. Once an efficient stochastic model of the series has been learned, this model can be used to predict the next values of the series. We apply this framework to several standard series including economical ones.
发表于 2025-3-29 09:14:45 | 显示全部楼层
1388-4301 Among them, one finds data analysis, patternrecognition (classification, multidimensional analysis, discriminantanalysis) as well as modelling (forecasting, confirmatory analysis,expert system design). In recent years, biomimetic approaches havereceived growing attention from Marketing, Finance and
发表于 2025-3-29 11:52:59 | 显示全部楼层
发表于 2025-3-29 16:48:44 | 显示全部楼层
发表于 2025-3-29 21:11:21 | 显示全部楼层
发表于 2025-3-30 02:41:23 | 显示全部楼层
发表于 2025-3-30 04:58:11 | 显示全部楼层
https://doi.org/10.1007/978-3-662-32878-1ng costs of computing and the relative progress cf theoretical and applied research in neural networks. Their use in marketing is now emerging due mainly to the the increasing availability of marketing data, and the sometimes limited effectiveness of traditional statistical models as analytical tools for decision-making.
 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, 2025-6-22 00:10
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