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
>
期刊
> 期刊详情页
Input Partitioning Based on Correlation for Neural Network Learning
期刊名称:Journal of Clean Energy Technologies
时间:2013
页码:335-338
相关项目:增性学习的理论、算法及其应用
作者:
sheng wei guan|
同期刊论文项目
增性学习的理论、算法及其应用
期刊论文 11
会议论文 15
同项目期刊论文
DEM: Direct Estimation Method for Photovoltaic Maximum Power Point Tracking
Neural Network Output partitioning Based on Correlation
Incremental Hyperplane Partitioning for Classification
Learning of Neural Network with Reduced Interference – An Ensemble Approach
Genetic Algorihtm Based Split-Fusion Clustering
Correlation-based Feature Ordering for Classification based on Neural Incremental Attribute Learning
Investigation of Neural Networks for Function Approximation
Recursive Learning of Genetic Algorithm Featuring Incremental Attribute Learning for Higher Dimensio
Low-Interference Output Partitioning for Neural Network Training