A Review of multilayer extreme learning machine neural networks
Abstract The Extreme Learning Machine is a single-hidden-layer feedforward learning
algorithm, which has been successfully applied in regression and classification problems in …
algorithm, which has been successfully applied in regression and classification problems in …
Remote sensing: an advanced technique for crop condition assessment
Actually, cultivators are increasingly arranging innovative high technical and scientific
estimations in the aim to enhance agricultural sustainability, effectiveness, and/or plant …
estimations in the aim to enhance agricultural sustainability, effectiveness, and/or plant …
Artificial intelligence enabled efficient power generation and emissions reduction underpinning net-zero goal from the coal-based power plants
A large power generation facility is a complex multi-criteria system associated with
multivariate couplings, high dependency, and non-linearity among the operating variables …
multivariate couplings, high dependency, and non-linearity among the operating variables …
Extreme learning machine and adaptive sparse representation for image classification
Recent research has shown the speed advantage of extreme learning machine (ELM) and
the accuracy advantage of sparse representation classification (SRC) in the area of image …
the accuracy advantage of sparse representation classification (SRC) in the area of image …
Inverse-free extreme learning machine with optimal information updating
The extreme learning machine (ELM) has drawn insensitive research attentions due to its
effectiveness in solving many machine learning problems. However, the matrix inversion …
effectiveness in solving many machine learning problems. However, the matrix inversion …
Regularized label relaxation linear regression
Linear regression (LR) and some of its variants have been widely used for classification
problems. Most of these methods assume that during the learning phase, the training …
problems. Most of these methods assume that during the learning phase, the training …
Multilayer extreme learning machine with subnetwork nodes for representation learning
The extreme learning machine (ELM), which was originally proposed for “generalized”
single-hidden layer feedforward neural networks, provides efficient unified learning …
single-hidden layer feedforward neural networks, provides efficient unified learning …
Two-hidden-layer extreme learning machine for regression and classification
As a single-hidden-layer feedforward neural network, an extreme learning machine (ELM)
randomizes the weights between the input layer and the hidden layer as well as the bias of …
randomizes the weights between the input layer and the hidden layer as well as the bias of …
An extreme learning machine model for geosynthetic-reinforced sandy soil foundations
In the past, several experimental and theoretical studies have been carried out to evaluate
the ultimate bearing capacity (UBC) of geosynthetic-reinforced sandy soil foundations …
the ultimate bearing capacity (UBC) of geosynthetic-reinforced sandy soil foundations …
Excavation equipment recognition based on novel acoustic statistical features
Excavation equipment recognition attracts increasing attentions in recent years due to its
significance in underground pipeline network protection and civil construction management …
significance in underground pipeline network protection and civil construction management …