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A deep residual compensation extreme learning machine and applications

The extreme learning machine (ELM) is a type of machine learning algorithm for training a single hidden layer feedforward neural network. Randomly initializing the weight between the input layer and the hidden layer and the threshold of each hidden …

Land-use classification via ensemble dropout information discriminative extreme learning machine based on deep convolution feature

Classifying land-use scenes with high quality and accuracy is an important research direction in current hyperspectral remote sensing images, which is conducive to scientific management and utilization of land. An effective classifier and feature …

Neural network algorithm based on Legendre improved extreme learning machine for solving elliptic partial differential equations

To provide a new numerical algorithm for solving elliptic partial differential equations (PDEs), the Legendre neural network (LNN) and improved extreme learning machine (IELM) algorithm are introduced to propose a Legendre improved extreme learning …

Rock slope stability analysis and charts based on hybrid online sequential extreme learning machine model

The stability of rock slopes is a difficult problem in the field of geotechnical and geological engineering. Less than 20% of all landslides are predictable each year, so a simple, fast, reliable and low-cost method to predict the stability of slopes …

Solving partial differential equation based on Bernstein neural network and extreme learning machine algorithm

In this paper, we introduce a new method based on Bernstein Neural Network model (BeNN) and extreme learning machine algorithm to solve the differential equation. In the proposed method, we develop a single-layer functional link BeNN, the hidden …

Global solar radiation prediction using hybrid online sequential extreme learning machine model

Accurate global solar radiation prediction is highly essential for related research on renewable energy sources. The cost implication and measurement expertise of global solar radiation emphasize that intelligence prediction models need to be …

PM2. 5 Prediction Based on Genetic Algorithm and Regularized Extreme Learning Machine

Environmental quality is closely related to people’s health and has always been a research hotspot. In this paper, the daily average values of PM2. 5 are predicted by atmospheric data such as NO2 and PM10 in Changsha City in 2017, and the BIC …