Extreme learning machine (ELM) is a training algorithm for single hidden layer feedforward
neural network (SLFN), which converges much faster than traditional methods and yields …

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 …

The increasing liberalization of European electricity markets, the growing proportion of
intermittent renewable energy being fed into the energy grids, and also new challenges in …

Conventional extreme learning machines (ELMs) solve a Moore–Penrose generalized
inverse of hidden layer activated matrix and analytically determine the output weights to …

In order to overcome the disadvantage of the traditional algorithm for SLFN (single-hidden
layer feedforward neural network), an improved algorithm for SLFN, called extreme learning …

An extreme learning machine (ELM) is a feedforward neural network (FNN) like learning
system whose connections with output neurons are adjustable, while the connections with …

Extreme learning machine (ELM) for single-hidden-layer feedforward neural networks
(SLFN) is a powerful machine learning technique, and has been attracting attentions for its …

Recognition of handwritten characters is a challenging task. Variations in writing styles from
one person to another, as well as for a single individual from time to time, make this task …

Aiming at effectively classifying imbalanced large data sets with two classes, this paper
proposed a novel algorithm, which consists of four stages:(1) alternately over-sample p …

With the increasing presence of online social networks (OSN), there is a growing interest in
accurately predicting user behaviors based on the data collected from OSN. Unlike …