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 ...
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 ...
Learning in Single Hidden‐Layer Feedforward Network Models: Backpropagation in a Spatial Interaction Modeling Context. Geographical Analysis, 28(1), pp.38-55.Gopal S, Fischer MM (1996) Learning in single hidden-layer feedforward network: backpropagation in a spatial interaction modeling context. ...
single layer feed-forward neural network (SLFNN)privacy preservingThis paper aims to propose a framework for manifold regularization (MR) based distributed semi-supervised learning (DSSL) using single layer feed-forward neural network (SLFNN). The proposed framework, denoted as DSSL-SLFNN is ...
single layer feed-forward neural network(SLFNN)privacy preservingThis paper aims to propose a framework for manifold regularization(MR) based distributed semi-supervised learning(DSSL) using single layer feed-forward neural network(SLFNN). The proposed framework, denoted as DSSL-SLFNN is based on ...
A model of adaptive signal estimation in the presence of noise is\nproposed using the wavelet transform and single layer linear feedforward\nneural networks. The networks successively estimate the residual of the\napproximations (details) of the input at different scales from coarse\nscales (low ...
2) single hidden feedforward neural networks 单隐层前向神经网络 1. Extreme Learning Machine algorithm is a standard learning algorithm of single hidden feedforward neural networks characterized by great generalization capability and fast learning speed,and is widely applied in the field of function ...
miRNA-disease association; reliable negative samples; single-hidden layer feedforward neural network1. Introduction miRNAs are a kind of small fragment genetic material that widely regulate gene expression in human and other animal cells [1,2]. Since the discovery of miRNA in 1993 [3], scientists...
Compact single hidden layer feedforward network for mycobacterium tubercu- losis detection [C]. 2011 IEEE International Conference on Control System, Computing and Engineering, 2011:432 -436. Osman M K, Noor Mohd Halim Mohd, Mashor M Y,等.基于紧凑单隐层前馈网络 分枝杆菌肺结核检测[C].2011 ...