A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …

In many applications of information systems learning algorithms have to act in dynamic
environments where data are collected in the form of transient data streams. Compared to …

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 …

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 …

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

Data-intelligent algorithms designed for forecasting significant height of coastal waves over
the relatively short time period in coastal zones can generate crucial information about …

Extreme Learning Machine (ELM) is one of the latest trends in learning algorithm, which can
provide a good recognition rate within less computation time. Therefore, the algorithm can …

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 …

A noticeable increase in drought frequency and severity has been observed across the
globe due to climate change, which attracted scientists in development of drought prediction …

This paper proposes an improved learning algorithm for classification which is referred to as
voting based extreme learning machine. The proposed method incorporates the voting …