登录后查看消息通知
搜索
常见问题
消息
登录
首页
/
数据集
/
Algorithm timings on a laptop computer with Intel i9–9900K CPU, 32GB RAM and an NVIDIA RTX2080 GPU.
Algorithm timings on a laptop computer with Intel i9–9900K CPU, 32GB RAM and an NVIDIA RTX2080 GPU.
收藏
Figshare
2021-05-28 更新
2026-04-28 收录
算法基准测试
数据链接:
https://figshare.com/articles/dataset/Algorithm_timings_on_a_laptop_computer_with_Intel_i9_9900K_CPU_32GB_RAM_and_an_NVIDIA_RTX2080_GPU_/14699405
数据链接
链接失效反馈
官方服务:
问题咨询
购买咨询
在线客服
NEW
资源简介:
Data stored on an external solid-state drive.
应用场景:
创建时间:
2021-05-28
相关数据集
Benchmarks for the speed of the dissimilarity metric.
相异度度量
算法基准测试
Benchmarks for the speed of the dissimilarity metric.
NIAID Data Ecosystem
6
0
Experimental Results for the study "A Modular Hybridization of Particle Swarm Optimization and Differential Evolution"
元启发式优化算法
算法基准测试
This repository contains the experiment results and R scripts to analyze the data for the study "A Modular Hybridization of Particle Swarm Optimization andDifferential Evolution", which is accepted in
Zenodo
2020-05-07 更新
4
0
Performance comparison between RBA and classical optimization algorithms in test case 2.
优化算法
算法基准测试
Performance comparison between RBA and classical optimization algorithms in test case 2.
NIAID Data Ecosystem
4
0
Performance metrics of each algorithm at different thresholds under test images.
图像算法性能评估
算法基准测试
Performance metrics of each algorithm at different thresholds under test images.
Figshare
2026-01-16 更新
4
0
Results for CEC 2017 suites with 30 in dimensionality.
算法基准测试
优化算法
Results for CEC 2017 suites with 30 in dimensionality.
Figshare
2021-08-20 更新
4
0
© 2023-2026 上海数据发展科技有限责任公司 版权所有
沪ICP备17003045号-15
沪公网安备31010402336585号
热门搜索
社区交流群
科研交流群
商业服务
数据资源
寻源服务
数据采集
标注服务
数据产品
代理销售
数据领域
凭证登记
数据产品
介绍推广