New activation functions for single layer feedforward neural networkArtificial Neural NetworkActivation functionGeneralized swishReLU-swishTriple-state swishArtificial Neural Network (ANN) is a subfield of mach
According to conventional neural network theories, the feature of single-hidden-layer feedforward neural networks(SLFNs) resorts to parameters of the weighted connections and hidden nodes. SLFNs are universal approximators when at least the parameters of the networks including hidden-node parameter and...
Gopal S, Fischer M M, 1996, "Learning in single hidden-layer feedforward network models" Geographical Analysis 28 (1) 38 - 55Gopal, S. and Fischer, M.M. 1996. Learning in single hidden-layer feedforward network models: Backpropagation in a spatial interaction modelling context. Geographical...
We prove a negative result for the approximation of functions defined on compact subsets of Rd (where d≥2) using feedforward neural networks with one hidden layer and arbitrary continuous activation function. In a nutshell, this result claims the existence of target functions that are as difficul...
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 ...
5) multilayer feedforward neural network 多层前馈神经网络 1. Electric power quality disturbance classification based on modified multilayer feedforward neural network 基于改进多层前馈神经网络的电能质量扰动分类 更多例句>> 6) multiple layer forward neural network 多层前馈型神经元网络...
neural networksBroad learning system (BLS) is a recently proposed single-layer feedforward network (SLFN) with strong generalization ability in different industrial applications. However, the classical BLS assumes that the training and testing data are drawn from the same distribution, which can be ...
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 ...
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 ...
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 ...