Majority of the learning algorithms used for the training of feedforward neural networks
(FNNs), such as backpropagation (BP), conjugate gradient method, etc. rely on the …

The Extreme Learning Machine (ELM), a quick and effective approach for training single-
hidden-layer feedforward neural networks, is thoroughly reviewed in this paper. The …

Extreme learning machine (ELM) is an emerging learning algorithm for the generalized
single hidden layer feedforward neural networks, of which the hidden node parameters are …

Abstract Extreme Learning Machine (ELM) is most popular emerging learning algorithm that
modify classical 'Generalized'single hidden layer feed forward network. Though some …

Extreme Learning Machine (ELM) is an elegant technique for training Single-hidden Layer
Feedforward Networks (SLFNs) with extremely fast speed that attracts significant interest …

Extreme learning machine (ELM) is an efficient training algorithm originally proposed for
single-hidden layer feedforward networks (SLFNs), of which the input weights are randomly …

Abstract Feedforward Neural Networks are the type of Artificial Neural networks, which
follow a unidirectional path. The input nodes are associated with the intermediate layers and …

Abstract Extreme Learning Machine (ELM), which is proposed for generalized single-hidden
layer feedforward neural networks, has become a popular research topic due to its unique …

The representation learning is the key to deep learning. As a special deep learning
algorithm, the generalization performance of the multilayer extreme learning machine (ML …

As demonstrated earlier, the learning effectiveness and learning speed of single-hidden-
layer feedforward neural networks are in general far slower than required, which has been a …