extreme learning machine (ELM) and its variants like on-line sequential ELM (OSELM) and kernel based extreme learning machine … (KELM). In the KELM category two variants namely the wavelet based kernel (WKELM) extreme learning machine and radial basis … kernel extreme learning machine (RKELM) along with support vector machine (SVMRBF) and support vector machine polynomial …

Learning Machine (ELM), which rarely presents in literature on wind speed forecasting, the Ljung-Box Q-test (LBQ) and the … evaluate wind energy properly and efficiently, this study proposes a hybrid forecasting approach that combines the Extreme …

optimized hybrid method by CS (Cuckoo Search) on the basis of the OP-ELM (Optimally Pruned Extreme Learning Machine), called CS …

learning machine (ELM) is proposed. As an accurate model is required for effective optimization result, kernel-based ELM (K … fuel cost and wide engine operating range. A new biodiesel engine modeling and optimization framework based on extreme …

ensemble empirical mode decomposition (CEEMD) and extended extreme learning machine (EELM) is proposed. This novel method is …

the extreme learning machine (ELM). The circular failure mechanism of a slope is formulated based on its material …

In this paper, an M–EEMD–ELM model (modified ensemble empirical mode decomposition (EEMD)-based extreme learning … machine (ELM) ensemble learning paradigm) is proposed for landslide displacement prediction. The nonlinear original surface …

Multilayer Perceptron (MLP) neural networks trained with a novel methodology called Extreme Learning Machine (ELM). The … llamada Extreme Learning Machine (ELM). Los resultados experimentales son prometedores, mostrando un buen resultado si se …