位置：成果数据库 > 会议 > 会议详情页
Input Partitioning Based on Correlation for Neural Network Learning
  • 所属机构名称：西交利物浦大学
  • 会议名称：The 2nd International Conference on Informatics, Environment, Energy and Applications
  • 时间：2013.3.3
  • 成果类型：会议
  • 相关项目：增性学习的理论、算法及其应用
作者： sheng wei guan|
同会议论文项目
增性学习的理论、算法及其应用
期刊论文 11 会议论文 15
同项目会议论文
Neural Incremental Attribute Learning with Correlation-based Feature Ordering for Regression
A Proof-Carrying Code Approach to Certificate Auction Mechanisms
Correlation-based Feature Ordering for Classification based on Neural Incremental Attribute Learning
Feature Selection in Growing Dimensional Space for Classification based on Neural Incremental Attrib
Promotion-based Input Partitioning of Neural Network
Learning of Neural Network with Reduced Interference – An Ensemble Approach
GA Based Split-Fusion Clustering
Recursive Learning of Genetic Algorithm Featuring Incremental Attribute Learning for Higher Dimensio
Low-Interference Output Partitioning for Neural Network Training
Neural Network Output partitioning Based on Correlation
Incremental Attribute based Particle Swarm Optimization
Entropic Feature Discrimination Ability for Pattern Classification Based on Neural IAL
Weightless Swarm Algorithm (WSA) for Dynamic Optimization Problems
Evolving Linear Discriminant in a Continuously Growing Dimensional Space for Incremental Attribute L