Review of Optimization in Improving Extreme Learning Machine

Review of Optimization in Improving Extreme Learning Machine

Now a days Extreme Learning Machine has gained a lot of interest because of its noteworthy qualities over single hidden-layer feedforward neural networks and the kernel functions. Even if ELM has many advantages, it has some potential shortcomings such as performance sensitivity to...

Full description

Bibliographic Details
Main Authors:	Nilesh Rathod, Sunil Wankhade
Format:	Article
Language:	English
Published:	European Alliance for Innovation (EAI) 2021-09-01
Series:	EAI Endorsed Transactions on Industrial Networks and Intelligent Systems
Subjects:	extreme learning machine (elm) single-feedforward neural networks; kernel functions sensitivity input weights and activation bias
Online Access:	https://eudl.eu/pdf/10.4108/eai.17-9-2021.170960

Similar Items

Optimizing neural network based on cuckoo search and invasive weed optimization using extreme learning machine approach
by: Nilesh Rathod, et al.
Published: (2022-09-01)

An improved algorithm for incremental extreme learning machine
by: Shaojian Song, et al.
Published: (2020-01-01)

Investigation of optimized ELM using Invasive Weed-optimization and Cuckoo-Search optimization
by: Rathod Nilesh, et al.
Published: (2022-10-01)

Extreme Learning Machine model for assessment of stream health using the Qualitative Habitat Evaluation Index
by: Ahmed S. Aredah, et al.
Published: (2022-05-01)

Extreme Learning Machine for Optimized Affine Transformation Based on Gaussian Distribution
by: ZHANG Yi, WANG Shitong
Published: (2021-04-01)

An Adaptive Learning Algorithm for Regularized Extreme Learning Machine
by: Yuao Zhang, et al.
Published: (2021-01-01)

Structural Damage Detection using Frequency Response Function Index and Surrogate Model Based on Optimized Extreme Learning Machine Algorithm
by: R. Ghiasi, et al.
Published: (2017-09-01)

Ensemble Method of Diverse Regularized Extreme Learning Machines
by: CHEN Yang, WANG Shitong
Published: (2022-08-01)

A Novel Neutrosophic Weighted Extreme Learning Machine for Imbalanced Data Set
by: Yaman Akbulut, et al.
Published: (2017-08-01)

Interval Prediction Technology of Photovoltaic Power Based on Parameter Optimization of Extreme Learning Machine
by: HE Zhizhuo, ZHANG Ying, ZHENG Gang, ZHENG Fang, HUANG Wandi, ZHANG Shenxi, CHENG Haozhong
Published: (2024-03-01)

Short-Term Precipitation Forecasting Based on the Improved Extreme Learning Machine Technique
by: Isa Ebtehaj, et al.
Published: (2023-03-01)

A Novel Key Features Screening Method Based on Extreme Learning Machine for Alzheimer’s Disease Study
by: Jia Lu, et al.
Published: (2022-05-01)

Parsimonious Wavelet Kernel Extreme Learning Machine
by: Wang Qin, et al.
Published: (2015-11-01)

Multiple-Instance Learning via an RBF Kernel-Based Extreme Learning Machine
by: Wang Jie, et al.
Published: (2017-01-01)

Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator
by: Md. Omaer Faruq Goni, et al.
Published: (2023-01-01)

Deep Residual Learning With Dilated Causal Convolution Extreme Learning Machine
by: Akira Sasou
Published: (2021-01-01)

Hybrid intelligent deep kernel incremental extreme learning machine based on differential evolution and multiple population grey wolf optimization methods
by: Di Wu, et al.
Published: (2019-01-01)

Supervised Extreme Learning Machine-Based Auto-Encoder for Discriminative Feature Learning
by: Jie Du, et al.
Published: (2020-01-01)

Prediction of a composite indicators using combined method of extreme learning machine and locally weighted regression
by: Jurga Rukšėnaitė, et al.
Published: (2012-04-01)

EFFICIENT MODELLING AND SIMULATION OF WIND POWER USING ONLINE SEQUENTIAL LEARNING ALGORITHM FOR FEED FORWARD NETWORKS
by: Rashmi P. Shetty, et al.
Published: (2019-01-01)

Residual Compensation-Based Extreme Learning Machine for MIMO-NOMA Receiver
by: M. Rezwanul Mahmood, et al.
Published: (2023-01-01)

A New Probabilistic Output Constrained Optimization Extreme Learning Machine
by: Shen Yuong Wong, et al.
Published: (2020-01-01)

Generating word embeddings from an extreme learning machine for sentiment analysis and sequence labeling tasks
by: Lauren, Paula, et al.
Published: (2020)

An Extreme Learning Machine for the Simulation of Different Hysteretic Behaviors
by: Mojtaba Farrokh, et al.
Published: (2022-12-01)

Enhanced Salp Search Algorithm for Optimization Extreme Learning Machine and Application to Dew Point Temperature Prediction
by: Xiangmin Zhang, et al.
Published: (2022-11-01)

Open Database for Accurate Upper-Limb Intent Detection Using Electromyography and Reliable Extreme Learning Machines
by: Vinicius Horn Cene, et al.
Published: (2019-04-01)

Extreme Learning Machine With Enhanced Composite Feature for Spectral-Spatial Hyperspectral Image Classification
by: Mengying Jiang, et al.
Published: (2018-01-01)

Detection of Stress Levels from Biosignals Measured in Virtual Reality Environments Using a Kernel-Based Extreme Learning Machine
by: Dongrae Cho, et al.
Published: (2017-10-01)

Multiple Features With Extreme Learning Machines For Clothing Image Recognition
by: Ruifan Li, et al.
Published: (2018-01-01)

Missing Well Logs Prediction Based on Hybrid Kernel Extreme Learning Machine Optimized by Bayesian Optimization
by: Lei Qiao, et al.
Published: (2022-08-01)

A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach
by: Yulin Jian, et al.
Published: (2017-06-01)

Assessing the suitability of extreme learning machines (ELM) for groundwater level prediction
by: Yadav Basant, et al.
Published: (2017-03-01)

Representational Learning for Fault Diagnosis of Wind Turbine Equipment: A Multi-Layered Extreme Learning Machines Approach
by: Zhi-Xin Yang, et al.
Published: (2016-05-01)

Spatio-Temporal Analysis of Wetland Changes Using a Kernel Extreme Learning Machine Approach
by: Yi Lin, et al.
Published: (2018-07-01)

OMP-ELM: Orthogonal Matching Pursuit-Based Extreme Learning Machine for Regression
by: Alcin Omer F., et al.
Published: (2015-03-01)

A Hybrid Model for Monthly Precipitation Time Series Forecasting Based on Variational Mode Decomposition with Extreme Learning Machine
by: Guohui Li, et al.
Published: (2018-07-01)

An Analog Circuit Fault Diagnosis Method Based on Circle Model and Extreme Learning Machine
by: Sumin Guo, et al.
Published: (2020-03-01)

Improved extreme learning machine for spectra classification of Covid-19
by: Wang, Changyang
Published: (2024)

Subsynchronous oscillation detection via cycle-based feature extraction and weighted kernel extreme learning machine
by: Lei Wang, et al.
Published: (2022-09-01)

Design of UWB Antenna Based on Improved Deep Belief Network and Extreme Learning Machine Surrogate Models
by: Jingchang Nan, et al.
Published: (2021-01-01)