Extreme learning machine (ELM) has gained increasing interest from various research fields
recently. In this review, we aim to report the current state of the theoretical research and …

Recently, a novel learning algorithm for single-hidden-layer feedforward neural networks
(SLFNs) named extreme learning machine (ELM) was proposed by Huang et al. The …

Recently, the feed-forward neural network is functioning with slow computation time and
increased gain. The weight vector and biases in the neural network can be tuned based on …

Monthly streamflow prediction is very important for many hydrological applications in
providing information for optimal use of water resources. In this study, the prediction …

Computational intelligence techniques have been used in wide applications. Out of
numerous computational intelligence techniques, neural networks and support vector …

Daily streamflow prediction is important for flood warning, navigation, sediment control,
reservoir operations and environmental protection. The current paper examines the …

Extreme learning machine (ELM) is a new learning algorithm for the single hidden layer
feedforward neural networks. Compared with the conventional neural network learning …

This special issue includes eight original works that detail the further developments of ELMs
in theories, applications, and hardware implementation. In" Representational Learning with …

In this brief, the optimally pruned extreme learning machine (OP-ELM) methodology is
presented. It is based on the original extreme learning machine (ELM) algorithm with …

Abstract State-of-charge (SOC) is the key parameter for battery management, and the
accurate estimation of SOC is pretty important for the safe and stable operation of lithium …