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 …
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 …
A survey on applications of the harmony search algorithm
This paper thoroughly reviews and analyzes the main characteristics and application
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …
portfolio of the so-called Harmony Search algorithm, a meta-heuristic approach that has …
Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization–Extreme Learning Machine approach
S Salcedo-Sanz, C Casanova-Mateo… - Solar Energy, 2014 - Elsevier
This paper discusses the performance of a novel Coral Reefs Optimization–Extreme
Learning Machine (CRO–ELM) algorithm in a real problem of global solar radiation …
Learning Machine (CRO–ELM) algorithm in a real problem of global solar radiation …
Extreme learning machines on high dimensional and large data applications: a survey
Extreme learning machine (ELM) has been developed for single hidden layer feedforward
neural networks (SLFNs). In ELM algorithm, the connections between the input layer and the …
neural networks (SLFNs). In ELM algorithm, the connections between the input layer and the …
Integrated approach of network reconfiguration with distributed generation and shunt capacitors placement for power loss minimization in radial distribution networks
K Muthukumar, S Jayalalitha - Applied Soft Computing, 2017 - Elsevier
This article presents the significance of efficient hybrid heuristic search algorithm (HS-PABC)
based on Harmony search algorithm (HSA) and particle artificial bee colony algorithm …
based on Harmony search algorithm (HSA) and particle artificial bee colony algorithm …
From intangible resources to export performance: exploring the mediating effect of absorptive capabilities and innovation
OL Rua - Review of International Business and Strategy, 2018 - emerald.com
Purpose The purpose of this paper is to analyse the influence of intangible resources on
export performance, considering the mediating effect of absorptive capabilities and …
export performance, considering the mediating effect of absorptive capabilities and …
Survey on extreme learning machines for outlier detection
In a two-class classification task, if the number of examples of one class (majority) is much
greater than that of another class (minority), then the classification is said to be class …
greater than that of another class (minority), then the classification is said to be class …
[BOOK][B] Nature-inspired computing: physics and chemistry-based algorithms
NH Siddique, H Adeli - 2017 - taylorfrancis.com
Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a
comprehensive introduction to the methodologies and algorithms in nature-inspired …
comprehensive introduction to the methodologies and algorithms in nature-inspired …
LAHS: a novel harmony search algorithm based on learning automata
This study presents a learning automata-based harmony search (LAHS) for unconstrained
optimization of continuous problems. The harmony search (HS) algorithm performance …
optimization of continuous problems. The harmony search (HS) algorithm performance …