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Improvement of FCM Neural Network Classifier using K-Medoids Clustering
  • 所属机构名称：济南大学
  • 会议名称：World Congress on Nature and Biologically Inspired Computing
  • 时间：2014.7.30
  • 成果类型：会议
  • 相关项目：基于智能计算的水泥水化过程微结构反向建模及性能预测
同会议论文项目
基于智能计算的水泥水化过程微结构反向建模及性能预测
期刊论文 46 会议论文 31
同项目会议论文
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Constructing Surrogate Model for Optimum Concrete Mixtures Using Neural Network
Improvement of FCM Neural Network Classifier using K-Medoids Clustering
Evolving Flexible Neural Tree Model for Portland Cement Hydration Process
一种网络环境下基于CUDA架构的水泥图像特征提取系统设计
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Predicting Cement Compressive Strength Using Double-layer Multi-Expression Programming
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CUDA计算架构在水泥水化过程建模中的应用
Predicting Cement Compressive Strength Using Double-layer Multi-Expression Programming
Predicting Cement Compressive Strength Using Double-layer Multi-Expression Programming
一种网络环境下基于CUDA架构的水泥图像特征提取系统设计
CUDA计算架构在水泥水化过程建模中的应用
Predict the Hydration of Portland Cement using Differential Evolution
Predicting Cement Compressive Strength Using Double-layer Multi-Expression Programming
Feature Evaluation for Early Stage Internet Traffic Identification
A Novel Improvement of Particle Swarm Optimization using Dual Factors Strategy
Prediction of Concrete Strength using Floating Centroids Method
Prediction of Concrete Strength using Floating Centroids Method
Research of Neural Network Classifier Based on FCM and PSO for Breast Cancer Classification
Evolving Flexible Neural Tree Model for Portland Cement Hydration Process
Inference of Differential Equations by M-MEP for Cement Hydration Modeling
A Novel Improvement of Particle Swarm Optimization using Dual Factors Strategy
An Algorithm for Dense Correspondence Based on Blended Intrinsic Map
Extracting Three-Dimensional Cellular Automaton for Cement Microstructure Development using Gene Exp
Feature Evaluation for Early Stage Internet Traffic Identification