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 …

This paper presents a comprehensive overview of modelling, simulation and implementation
of neural networks, taking into account that two aims have emerged in this area: the …

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

Accurate estimation of state of health (SOH) is crucial for battery management system in
ensuring the reliability and safety for system operation. For SOH estimation, the model …

Recent advances in swarm inspired optimization algorithms have shown its extensive
acceptance in solving a wide range of different real-world problems. Particle Swarm …

Extreme learning machines (ELMs) basically give answers to two fundamental learning
problems:(1) Can fundamentals of learning (ie, feature learning, clustering, regression and …

Due to the simplicity of their implementations, least square support vector machine (LS-
SVM) and proximal support vector machine (PSVM) have been widely used in binary …

The emergent machine learning technique—extreme learning machines (ELMs)—has
become a hot area of research over the past years, which is attributed to the growing …

Neuro-fuzzy systems have attracted the growing interest of researchers in various scientific
and engineering areas due to its effective learning and reasoning capabilities. The neuro …

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