该方法通过离散小波变换抽取左、右手想象运动的主要特征,采用Bagging算法构建神经网络集成(Neural Network Ensemble,NNE)模型,并选取相对多数投票法获得网络集成的输出结果。
基于1个网页-相关网页
artificial neural network ensemble 人工神经网络集成
Process Neural Network Ensemble 过程神经网络集成
selective neural network ensemble 选择性神经网络
multistage neural network ensemble 多级神经网络集成
ensemble neural network 组合神经网络
ensemble neural network model 神经网络集成模型
The theory and method of neural network ensemble were studied in the given gene expression data.
以一个典型的微阵列基因表达数据集为背景研究了神经网络集成的理论和方法。
Finally, a case study was given to illustrate the whole steps to predict the product due date by using neural network ensemble.
最后,通过应用实例展示了利用集成神经网络进行产品完工期预测的全过程。
To improve the prediction results of protein secondary structure, we developed a neural network ensemble model based on dual-layer feed forward BP network.
为了提高蛋白质二级结构预测精度,本文尝试采用一种基于串联BP网络集成的二级结构预测模型。
应用推荐