欢迎您!
东篱公司
退出
申报数据库
申报指南
立项数据库
成果数据库
期刊论文
会议论文
著 作
专 利
项目获奖数据库
位置:
成果数据库
>
会议
> 会议详情页
K-Means Clustering Algorithm Optimized by Particle Swarm Optimization Algorithm
所属机构名称:重庆大学
会议名称:International Conference on Control Engineering and Automation (ICCEA 2014)
时间:2014.11.29
成果类型:会议
相关项目:高维征兆数据特征下的多故障智能诊断方法研究
同会议论文项目
高维征兆数据特征下的多故障智能诊断方法研究
期刊论文 3
会议论文 12
同项目会议论文
Discriminant-enhanced neighborhood preserving embedding for dimensionality reduction
Transient stability model and preventive control based on phase shifting transformer in power system
An optimized dimensionality reduction model for high-dimensional data based on Restricted Boltzmann
Short-term load forecasting using hybrid quantized Elman neural model
Research on fault diagnosis of Tennessee Eastman process based on KPCA and SVM
Application of Support Vector Machine Optimized by Particle Swarm Optimization Algorithm in High Acc
Multiple Fault Diagnosis of Analog Circuit Using Quantum Hopfield Neural Network
Analysis of class group distinguishing based conceptual models for multiple fault diagnosis
A new synthesis method of N-ethyl-m-methyoxy aniline
Proximity operator based alternating iteration algorithm for sparse signal recovery
A method to optimize apriori algorithm for frequent items mining