DCS-ELM: a novel method for extreme learning machine for regression problems and a new approach for the SFRSCC [PeerJ]

Extreme learning machine (ELM) algorithm is widely used in regression and classification problems due to its advantages such as speed and high-performance rate. Different artificial intelligence-based optimization methods and chaotic systems have been proposed for the development of the ELM. However, a generalized solution method and success rate at the desired level could not be obtained. In this study, a new method is proposed as a result of developing the ELM algorithm used in regression problems with discrete-time chaotic systems. ELM algorithm has been improved by testing five different chaotic maps (Chebyshev, iterative, logistic, piecewise, tent) from chaotic systems. The proposed discrete-time chaotic systems based ELM (DCS-ELM) algorithm has been tested in steel fiber reinforced self-compacting concrete data sets and public four different datasets, and a result of its performance compared with the basic ELM algorithm, linear regression, support vector regression, kernel ELM algorithm and weighted ELM algorithm. It has been observed that it gives a better performance than other algorithms.

A meta extreme learning machine method for forecasting financial time series

Boosting ridge for the extreme learning machine globally optimised

A combination of ridge and Liu regressions for extreme learning machine

Machine Learning with R - Fourth Edition: Learn techniques for building and improving machine learning models, from data preparation to model tuning, evaluation, and working with big data: 9781801071321: Medicine & Health

Extreme Learning Machines: Random Neurons, Random Features, Kernels

PDF) Biology-inspired Optimization Algorithms Applied to Intelligent Input Weights Selection of an Extreme Learning Machine in Regression Problems

A novel correlation Gaussian process regression-based extreme

SSELM-neg: spherical search-based extreme learning machine for drug–target interaction prediction, BMC Bioinformatics

Strategically managing learning during perceptual decision making

PDF) DCS-ELM: a novel method for extreme learning machine for regression problems and a new approach for the SFRSCC

DCS-ELM: a novel method for extreme learning machine for regression problems and a new approach for the SFRSCC [PeerJ]

PDF) Swarm-Based Extreme Learning Machine Models for Global

Experimental and predictive values of DCS-ELM algorithm in the