Results 11 to 20 of about 8,140,064 (302)
Local Coupled Extreme Learning Machine Based on Particle Swarm Optimization
Algorithms, 2018 We developed a new method of intelligent optimum strategy for a local coupled extreme learning machine (LC-ELM). In this method, both the weights and biases between the input layer and the hidden layer, as well as the addresses and radiuses in the local ...
Hongli Guo +5 more
doaj +2 more sources
Журнал інженерних наукThe article considers the machine learning method for a hand prosthesis control system that recognizes electromyographic signals with a non-invasive recording system.
Anatolii Dovbysh +4 more
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A review on extreme learning machine [PDF]
Multimedia Tools and Applications, 2021 AbstractExtreme learning machine (ELM) is a training algorithm for single hidden layer feedforward neural network (SLFN), which converges much faster than traditional methods and yields promising performance. In this paper, we hope to present a comprehensive review on ELM.
Jian Wang 0109 +3 more
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Information-extreme machine learning of wrist prosthesis control system based on the sparse training matrix [PDF]
, 2022 The article considers the problem of machine learning of a wrist prosthesis control system with a noninvasive biosignal reading system. The task is solved within the framework of information-extreme intelligent data analysis technology, which is based ...
Зборщик, Александр Петрович +12 more
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Massive MIMO as an Extreme Learning Machine [PDF]
IEEE Transactions on Vehicular Technology, 2021 This work shows that a massive multiple-input multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs) forms a natural extreme learning machine (ELM). The receive antennas at the base station serve as the hidden nodes of the ELM, and the low-resolution ADCs act as the ELM activation function.
Dawei Gao +2 more
openaire +3 more sources
Extreme learning machine topology.
, 2022 Extreme learning machine topology.
Xue Mei Liu (11914266) +3 more
core +1 more source
Extreme Rainfall Event Classification Using Machine Learning for Kikuletwa River Floods [PDF]
, 2023 Advancements in machine learning techniques, availability of more data sets, and increased computing power have enabled a significant growth in a number of research areas.
Edith Luhanga +13 more
core +2 more sources
A Novel Fault Diagnosis Method for Motor Bearing Based on DTCWT and AFSO-KELM
Shock and Vibration, 2021 Aiming at the defects of wavelet transform-based feature extraction and extreme learning machine-based classification, a novel fault diagnosis method for motor bearing, based on dual tree complex wavelet transform and artificial fish swarm optimization ...
Yan Lu, Peijiang Li
doaj +1 more source
FORECASTING OF CURRENCY CIRCULATION IN INDONESIA USING HYBRID EXTREME LEARNING MACHINE
Barekeng, 2022 Forecasting currency circulation, including inflow and outflow, is one of Bank Indonesia's strategies to maintain the Rupiah value's stability. The characteristic of inflow and outflow data is that they have seasonal variations.
Mujiati Dwi Kartikasari
doaj +1 more source
Sparse Extreme Learning Machine for Classification [PDF]
IEEE Transactions on Cybernetics, 2014 Extreme learning machine (ELM) was initially proposed for single-hidden-layer feedforward neural networks (SLFNs). In the hidden layer (feature mapping), nodes are randomly generated independently of training data. Furthermore, a unified ELM was proposed, providing a single framework to simplify and unify different learning methods, such as SLFNs ...
Zuo Bai +4 more
openaire +3 more sources