A review on extreme learning machine
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 …
neural network (SLFN), which converges much faster than traditional methods and yields …
A review on neural networks with random weights
In big data fields, with increasing computing capability, artificial neural networks have shown
great strength in solving data classification and regression problems. The traditional training …
great strength in solving data classification and regression problems. The traditional training …
Metaheuristic design of feedforward neural networks: A review of two decades of research
Over the past two decades, the feedforward neural network (FNN) optimization has been a
key interest among the researchers and practitioners of multiple disciplines. The FNN …
key interest among the researchers and practitioners of multiple disciplines. The FNN …
Extreme learning machine for multilayer perceptron
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 …
single hidden layer feedforward neural networks, of which the hidden node parameters are …
A review of machine learning for near-infrared spectroscopy
The analysis of infrared spectroscopy of substances is a non-invasive measurement
technique that can be used in analytics. Although the main objective of this study is to …
technique that can be used in analytics. Although the main objective of this study is to …
Non-iterative and fast deep learning: Multilayer extreme learning machines
In the past decade, deep learning techniques have powered many aspects of our daily life,
and drawn ever-increasing research interests. However, conventional deep learning …
and drawn ever-increasing research interests. However, conventional deep learning …
Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research
Many years have passed since Baesens et al. published their benchmarking study of
classification algorithms in credit scoring [Baesens, B., Van Gestel, T., Viaene, S …
classification algorithms in credit scoring [Baesens, B., Van Gestel, T., Viaene, S …
Predicting compressive strength of lightweight foamed concrete using extreme learning machine model
In this research, a machine learning model namely extreme learning machine (ELM) is
proposed to predict the compressive strength of foamed concrete. The potential of the ELM …
proposed to predict the compressive strength of foamed concrete. The potential of the ELM …
Trends in extreme learning machines: A review
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. In this review, we aim to report the current state of the theoretical research and …
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations
We present a novel, accurate, fast, and robust physics-informed neural network method for
solving problems involving differential equations (DEs), called Extreme Theory of Functional …
solving problems involving differential equations (DEs), called Extreme Theory of Functional …