网络释义 1. 聚类神经网络 类神经网络,neural... ... ) clustering neural network 聚类神经网络 ) neural network classifier 神经网络分类器 ... www.dictall.com|基于1 个网页 例句 释义: 全部,聚类神经网络 更多例句筛选 1. Application of clustering neural network method in electromagnetic nondestructive ...
TheNeural Net Clusteringapp provides a built-in training algorithm that you can use to train your neural network. Training AlgorithmDescription Batch unsupervised weight and bias training Train a network with unsupervised weight and bias learning rules with batch updates. The weights and biases are up...
常规的Neural network的pre-training是在监督学习的classification任务上实现的,考虑 x=Φ(I) 将图片 I 映射到feature vectors x∈RD 。比如用ImageNet去训练,N个数据点 I1,…,IN 对应着的labels为 y1,…,yN∈{1,…,K} 。通常一个单层的linear层用于将feature vector转化为class scores的vector, h:RD→RK...
K-means clustering and neural network for evaluating sound level vibration in vehicle cabin. One of the characteristics that may influence customers in vehicle purchasing is the level of comfort of the vehicle's sound vibration in the vehicle cabin... Nopiah,Zulkifli,Mohd,... - 《Journal of ...
针对模糊聚类神经网络FCNN(fuzzy clustering neural network)对例外点(outliers)敏感的缺陷,通过引入Vapnik's ε-不敏感损失函数,重新构造网络的目标函数,并根据拉格... 邓赵红,王士同 - 《软件学报》 被引量: 21发表: 2005年 Robust fuzzy clustering neural networks In this paper a new robust fuzzy clustering...
wherein each of the local models is trained on only a select and different portion of the set of historical data. The output layer is operable for mapping the hidden layer to an associated local output layer of outputs, wherein the hidden layer is operable to map the input layer through ...
Recent studies demonstrated the dependence of the temporal evolution of avalanches in neural networks on the specific parameters of the network like connection strength and network size. The dependence of the averaged network activity on the strength of an external stimulus has also been shown experimen...
A neural network-based clustering model, the DLC-Kuiper UB model, can improve the clustering of stroke patients with a maximally distinct distribution of 1-year vascular outcomes among each cluster. Further studies are warranted to validate this deep neural network-based clustering model in ischemic...
For more information on the SOM, see Cluster with Self-Organizing Map Neural Network. To create the network, specify the map size, this corresponds to the number of rows and columns in the grid. For this example, set the Map size value to 10, this corresponds to a grid with 10 rows...
The hybrid deep neural network (DNN) and hidden Markov model (HMM) has recently achieved dramatic performance gains in automatic speech recognition (ASR). The DNN-based acoustic model is very powerful but its learning process is extremely time-consuming. In this paper, we propose a novel DNN-...