2007. Single hidden layer artificial neural network models versus multiple linear regression model in forecasting the time series of total ozone[J]. Int J Environ Sci Tech~ nolꎬ 4(1): 141-149.Bandyopadhyay G,Chattopadhyay S.2007.Single hidden layer artificial neural network models versus ...
Security Insights Additional navigation options master 1Branch 0Tags Code Folders and files Name Last commit message Last commit date Latest commit Cannot retrieve latest commit at this time. History 7 Commits Single hidden layer neural network ...
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...
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, an analysis of different regularization techniques between L2-norm and dropout in a single hidden layer neural networks are investigated on the MNIST dataset. In our experiment, both regularization methods are applied to the single hidden layer neural network with various scales of ...
Single-hidden layer feedforward neural network (SLFN), as the simplest type of ANN, has been proved to have the universal approximation capability on any given data set. In recent years, a fast training method for SLFN named extreme learning machine (ELM) [3] has been proposed, which ...
test_neural_network.cu: Contains functions to test the neural network. Makefile: Build configuration Building the Project Clone the repository: git clone https://github.com/Po-V/cuda-SimpleNNet.git cd cuda-SimpleNNet Modify the Makefile if necessary, asjusting the `NVCC_FLAGS to match your...
Sometimes gives up, also must make the very big decision![translate] a设置输入向量的神经元数目为7,输出神经元数目为1的单隐层BP神经网络 The establishment input vector neuron number is 7, outputs the neuron number is 1 single implicit strata BP neural network[translate]...
摘要: A recent paper addresses a certain classification problem, and concludes that classification can be achieved using a single hidden layer neural network. We note here that conclusions along sf miler lines in a more general setting were reached in an earlier paper....
This paper focuses on the design of a terminal sliding mode controller (TSMC) using a fuzzy double hidden layer recurrent neural network (FDHLRNN) strategy for a single- phase active power filter (APF). A terminal sliding mode controller is proposed to make the tracking error of the system ...