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: Handbook of Genetic Programming Applications; Amir H. Gandomi,Amir H. Alavi,Conor Ryan Book 2015 Springer International Publishing Switzer

[复制链接]
楼主: dilate
发表于 2025-3-30 11:39:03 | 显示全部楼层
发表于 2025-3-30 15:46:40 | 显示全部楼层
发表于 2025-3-30 17:37:02 | 显示全部楼层
发表于 2025-3-30 21:03:16 | 显示全部楼层
Evaluation of Liquefaction Potential of Soil Based on Shear Wave Velocity Using Multi-Gene Genetic Pear wave velocity (..) measurement data using a soft computing technique, multi-gene genetic programming (MGGP), which is a variant genetic programming (GP). On the basis of the developed limit state function by the MGGP, a mapping function is presented to correlate probability of liquefaction (..)
发表于 2025-3-31 02:52:27 | 显示全部楼层
Site Characterization Using GP, MARS and GPR for developing site characterization model of Bangalore (India) based on corrected Standard Penetration Test (SPT) value (N.). GP, MARS and GPR have been used as regression techniques. GP is developed based on genetic algorithm. MARS does not assume any functional relationship between input and out
发表于 2025-3-31 06:20:57 | 显示全部楼层
Use of Genetic Programming Based Surrogate Models to Simulate Complex Geochemical Transport Processeemical process. Simulation of such complex geochemical processes using efficient numerical models is generally computationally intensive. In order to increase the model reliability for real field data, uncertainties in hydrogeological parameters and boundary conditions are needed to be considered as
发表于 2025-3-31 11:49:28 | 显示全部楼层
发表于 2025-3-31 14:34:15 | 显示全部楼层
发表于 2025-3-31 20:34:28 | 显示全部楼层
Genetic Programming for Mining Association Rules in Relational Database Environmentsinterest in the storage of information, relational databases comprising a series of relations (tables) and relationships have become essential. We present the first grammar-guided genetic programming approach for mining association rules directly from relational databases. We represent the relationa
发表于 2025-3-31 23:55:47 | 显示全部楼层
https://doi.org/10.1007/978-3-322-90039-5e evolutionary engine employs graph-based crossover and mutation. We introduce six different fitness functions based on evolutionary art literature and conduct a wide set of experiments. We begin by assessing the adequacy of the system and establishing the experimental parameters. Afterwards, we con
 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, 2025-5-4 10:55
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