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神经元网络集成
相关语句
  neural network ensembles
     A Research on the Knowledge-based Neural Network Ensembles
     对基于知识发现的神经元网络集成方法的研究
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  相似匹配句对
     A Research on the Knowledge-based Neural Network Ensembles
     对基于知识发现的神经元网络集成方法的研究
短句来源
     Logarithmic Amplifiers and Their Integration
     集成对数放大器
短句来源
     Integrated Learning
     集成学习
短句来源
     NEURAL NETWORK CONTROL SYSTEMS
     神经元网络控制系统
短句来源
     The features of ES and Neural Network(NN) are compared and the integration between them are discussed.
     比较了专家系统和神经元网络的各自特点并讨论了它们之间的相互集成
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  neural network ensembles
The experimental results favour the generation of neural network ensembles as these are able to produce good generalisation ability and significant improvement compared to other single classifier methods.
      
This paper presents a new algorithm for designing neural network ensembles for classification problems with noise.
      
Experiments on two real-world problems demonstrate that the new algorithm can produce neural network ensembles with good generalization ability.
      
Design of effective neural network ensembles for image classification purposes.
      
In the previous sections we discussed how the neural network ensembles were applied to various stages of this classification tasks.
      


This article explores the utility of knowledge discovery in Neural Network Ensembles. A novel neural network ensemble model KBNNE(Knowledge-Based Neural Network Ensembles)integrating KDD(Knowledge Discovery in Database)techniques and neural network ensemble algorithms by parallel operations is proposed. By balancing the relative importance of knowledge learned by induction and deduction, the new model improves the quality of neural network ensembles and has been applied successfully to actual modeling problems....

This article explores the utility of knowledge discovery in Neural Network Ensembles. A novel neural network ensemble model KBNNE(Knowledge-Based Neural Network Ensembles)integrating KDD(Knowledge Discovery in Database)techniques and neural network ensemble algorithms by parallel operations is proposed. By balancing the relative importance of knowledge learned by induction and deduction, the new model improves the quality of neural network ensembles and has been applied successfully to actual modeling problems.

该文对应用知识发现技术训练神经元网络集成的方法进行了研究,提出了以并行操作的方式结合归纳学习所获取的知识和演绎学习所获取的知识的神经元网络集成模型KBNNE(Knowledge-basedNeuralNetworkEnsem-bles)。实验表明,通过调节所获取知识的权重因子,新模型可以有效提高网络集成的性能。

 
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