DCS-ELM: a novel method for extreme learning machine for
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.
PDF) Kernel Principal Components Analysis with Extreme Learning Machines for Wind Speed Prediction
10-k cross-validation simple representation.
Remote Sensing, Free Full-Text
PDF) A novel hybrid teaching-learning-based optimization algorithm for the classification of data by using extreme learning machines
PDF) A novel hybrid teaching-learning-based optimization algorithm for the classification of data by using extreme learning machines
PDF) Biology-inspired Optimization Algorithms Applied to Intelligent Input Weights Selection of an Extreme Learning Machine in Regression Problems
PeerJ - Just published in PeerJ Computer Science - DCS-ELM: a novel method for extreme learning machine for regression problems and a new approach for the SFRSCC Read the full article #
A novel hybrid multilayer perceptron neural network with improved grey wolf optimizer
PDF) Swarm-Based Extreme Learning Machine Models for Global Optimization
A Gentle Introduction to Extreme Learning Machines[ELM], by Nithya Prasath Madhan, Analytics Vidhya
PDF) Biology-inspired Optimization Algorithms Applied to Intelligent Input Weights Selection of an Extreme Learning Machine in Regression Problems
PDF) A progressive learning for structural tolerance online sequential extreme learning machine
ELM-KL-LSTM: a robust and general incremental learning method for efficient classification of time series data [PeerJ]
PDF) A review on extreme learning machine
