Single Layer Feedforward Networks (SLFNConstructive algorithmOrthogonal Least Square (OLSParticle Swarm Optimization (PSOAccording to the simplicity and universal approximation capability, single layer feedforward networks (SLFN) are widely used in classification and regression problems. The paper presents a ...
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 ...
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...
Fast construction of single hidden Layer feedforward networks. Li K,Huang G B,Ge S S. Handbook of Natural Computing . 2010Li K,Huang G B,Ge S S.Fast construction of single hidden Layer feedforward networks[J] ,in:G.Rozenberg,T.H.W.Back,1.N.Kok(Eds.),Handbook of Natural Computing,...
Learning in Single Hidden‐Layer Feedforward Network Models: Backpropagation in a Spatial Interaction Modeling Context Learning in neural networks has attracted considerable interest in recent years. Our focus is on learning in single hidden-layer feedforward networks which... S Gopal,MM Fischer - 《...
Note that these architectures are generalized feedforward neural networks because the links are not restricted to going from one layer to the next layer. This generalization makes the neural networks more powerful in doing classification. Although these kinds of neural networks are difficult to be ...
Description formwb(net,b,IW,LW) takes a neural network and bias b, input weight IW, and layer weight LW values, and combines the values into a single vector. Examples Here a network is created, configured, and its weights and biases formed into a vector....
[x,t] = simplefit_dataset; net = feedforwardnet(3); net = configure(net,x,t); view(net) This network has three weights and three biases in the first layer, and three weights and one bias in the second layer. So, the total number of weight and bias values in the network is 10...
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 ...
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...