Improvement flower pollination extreme learning machine based on meta-learning

2016 ◽  
Author(s):  
Sarunyoo Boriratrit ◽  
Sirapat Chiewchanwattana ◽  
Khamron Sunat ◽  
Pakarat Musikawan ◽  
Punyaphol Horata
Keyword(s):  
Extreme Learning Machine ◽  
Flower Pollination ◽  
Meta Learning ◽  
Learning Machine

scholarly journals Extreme Learning Machine Based on Firefly Adaptive Flower Pollination Algorithm Optimization

Processes ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 1583
Author(s):  
Ting Liu ◽  
Qinwei Fan ◽  
Qian Kang ◽  
Lei Niu
Keyword(s):  
Extreme Learning Machine ◽  
Credit Rating ◽  
Nonlinear Function ◽  
Flower Pollination Algorithm ◽  
Algorithm Optimization ◽  
Classification Problems ◽  
Generalization Performance ◽  
Flower Pollination ◽  
Fast Training ◽  
Learning Machine

Extreme learning machine (ELM) has aroused a lot of concern and discussion for its fast training speed and good generalization performance, and it has been used diffusely in both regression and classification problems. However, on account of the randomness of input parameters, it requires more hidden nodes to obtain the desired accuracy. In this paper, we come up with a firefly-based adaptive flower pollination algorithm (FA-FPA) to optimize the input weights and thresholds of the ELM algorithm. Nonlinear function fitting, iris classification and personal credit rating experiments show that the ELM with FA-FPA (FA-FPA-ELM) can obtain significantly better generalization performance (such as root mean square error, classification accuracy) than traditional ELM, ELM with firefly algorithm (FA-ELM), ELM with flower pollination algorithm (FPA-ELM), ELM with genetic algorithm (GA-ELM) and ELM with particle swarm optimization (PSO-ELM) algorithms.

Meta-learning to optimize the number of hidden nodes of MLP networks trained by Extreme Learning Machine algorithm

2016 ◽  
Author(s):  
Tarcísio Lucas ◽  
Ricardo Prudêncio ◽  
Teresa Ludermir ◽  
Carlos Soares
Keyword(s):  
Extreme Learning Machine ◽  
Meta Learning ◽  
Learning Machine ◽  
Hidden Nodes

Performance of Extreme Learning Machine Kernels in Classifying EEG Signal Pattern of Dyslexic Children in Writing

2019 ◽  
Vol 11 (3) ◽  
Author(s):  
A. Z. Ahmad Zainuddin ◽  
◽  
W. Mansor ◽  
Khuan Y. Lee ◽  
Z. Mahmoodin ◽  
...  
Keyword(s):  
Extreme Learning Machine ◽  
Eeg Signal ◽  
Signal Pattern ◽  
Learning Machine

Model selection of extreme learning machine based on latent feature space

2013 ◽  
Vol 33 (6) ◽  
pp. 1600-1603
Author(s):  
Wentao MAO ◽  
Zhongtang ZHAO ◽  
Huanhuan HE
Keyword(s):  
Model Selection ◽  
Extreme Learning Machine ◽  
Feature Space ◽  
Learning Machine ◽  
Selection Of
Sign in / Sign up

Export Citation Format

Share Document