位置：成果数据库 > 期刊 > 期刊详情页
An optimizing method of RBF neural network based on genetic algorithm
  • ISSN号：0941-0643
  • 期刊名称：Neural Computing & Applications
  • 时间：0
  • 页码：333-336
  • 相关项目：分布式计算环境下的并行数据挖掘算法与理论研究
作者： Ding Shifei|Xu Li|Su Chunyang|Jin Fengxiang|
同期刊论文项目
分布式计算环境下的并行数据挖掘算法与理论研究
期刊论文 65 会议论文 32
同项目期刊论文
An optimizing BP neural network algorithm based on genetic algorithm
图像分割的新理论与新方法
Research and progress of cluster algorithms based on granular computing
Research of neural network algorithm based on factor analysis and cluster analysis
支持向量机理论与算法研究综述
Particle swarm optimization for automatic parameters determination of pulse coupled neural network
SVM用于文本分类的适用性
基于PLS的Elman神经网络算法研究
Using genetic algorithms to optimize artificial neural networks
An improved bp neural network algorithm based on factor analysis
A fuzzy support vector machine algorithm with dual membership based on hypersphere
基于Shannon熵的因子特征提取算法
Granular neural networks
An overview on twin support vector machines
A feature selection algorithm based on tolerant granule
基于改进属性约简的细粒度并行AP聚类算法
权衡熵和相关度的自动摘要技术研究
分类超曲面算法复杂度研究
A novel granular support vector machine based on mixed kernel function
物联网与数据挖掘云服务
Mining distinction and commonality across multiple domains using generative model for text classific
Parallel Web Mining System Based on Cloud Platform
一种基于QPSO的脉冲耦合神经网络参数的自适应确定方法研究
A granularity attribute reduction method based on binary discernibility matrix
Effective semi-supervised document clustering via active learning with instance-level constraints
Twin support vector machines based on rough sets
基于熵的模糊信息测度研究
基于极速学习的粗糙RBF神经网络
煤与瓦斯突出的PCA-BP神经网络预测模型研究
基于FCM隶属度的支持向量机
一种基于QPSO的脉冲耦合神经网络参数的自适应确定方法
一种模糊加权的改进层次聚类算法研究
图像分割的新理论和新方法
Optimizing radial basis function neural network based on rough sets and affinity propagation clustering algorithm
基于对象间完备度的限制容差关系改进模型
一种基于成对约束的谱聚类算法