New activation functions for single layer feedforward neural networkArtificial Neural NetworkActivation functionGeneralized swishReLU-swishTriple-state swishArtificial Neural Network (ANN) is a subfield of machine learning and it has been widely used by the researchers. The attractiveness of ANNs comes ...
In this study, we proposed a unified evolutionary training scheme, called the UETS, which can either train a generalized feedforward neural network or construct an ANN ensemble. The UETS can train most kinds of neural networks without suffering the limitations of the BP. The kernel component of...
The classifier is a single hidden-layer feedforward neural network (SLFN), of which the activation function of the hidden units is ' tansig '. Its parameters are determined by Singular Value Decomposition (SVD). Experimental results show that the Neural-SVD model is simple, has low ...
In this paper, we propose a multi-criteria decision making based architecture selection algorithm for single-hidden layer feedforward neural networks trained by extreme learning machine. Two criteria are incorporated into the selection process, i.e., training accuracy and the Q-value estimated by ...
Applications of feedforward neural networks; Classification ability of SLFN; Con... Huang,Guang,Bin,... - 《IEEE Transactions on Neural Networks》 被引量: 0发表: 2000年 Feedforward neural network construction using cross validation This article presents an algorithm that constructs feedforward ...
与SSD相似,RefineDet基于feed-forward convolutional network产生一个固定数目的bounding boxes 和 表示这些box里的objects属于不同class的score, 后面接了non-maximum suppression 产生最后的结果. RefineDet 由两个 inter-connected modules组成:ARM 和 ODM. 这两个让performance比 two-stage方法更好并且有one-stage的效率...
We also discussed the performance of GRN construction based on another two well-known attention techniques, including the scaled-dot product attention70 and the additive attention based on a single-layer feedforward neural network72, and provided these schemes as additional options in our package (Su...
Learning in neural networks has attracted considerable interest in recent years. Our focus is on learning in single hidden-layer feedforward networks which is posed as a search in the network parameter space for a network that minimizes an additive error function of statistically independent examples...
在VGG16 上新加的 convolutional layers,其参数初始化都用 JMLR 2010, Understanding the difficulty of training deep feedforward neural networks 提出的 xavier 方法。 因为conv4_3 的尺寸比较大,size 为 38×38 的大小,我们只在上面放置 3 个 default boxes,一个 box 的 scale 为 0.1 ,另外两个 boxes 的...
Mathematical Neural Network (MaNN) Models Part VI: Single-layer perceptron [SLP] and Multi-layer perceptron [MLP] Neural networks in ChEM- Lab 来自 ResearchGate 喜欢 0 阅读量: 41 作者: RS Rao 摘要: Multi-layer perceptron (MLP) NN deals with fully connected feed-forward-supervised NNs in ...