Results 31 to 40 of about 5,507 (168)
Sensors, 2017 A novel classification model, named the quantum-behaved particle swarm optimization (QPSO)-based weighted multiple kernel extreme learning machine (QWMK-ELM), is proposed in this paper. Experimental validation is carried out with two different electronic
Yulin Jian +8 more
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Thermal error modeling of electrical spindle based on optimized ELM with marine predator algorithm
Case Studies in Thermal Engineering, 2022 High-speed electric spindle is an important part of computer numerical control (CNC) machining equipment, and the thermal displacement generated by the electric spindle during operation affects the electric spindle machining stability and machining ...
Zhaolong Li +4 more
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Micromachines, 2023 This paper pioneers the use of the extreme learning machine (ELM) approach for surface roughness prediction in ultra-precision milling, leveraging the excellent fitting ability with small datasets and the fast learning speed of the extreme learning ...
Suiyan Shang +4 more
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Regularized Weighted Circular Complex-Valued Extreme Learning Machine for Imbalanced Learning
IEEE Access, 2015 Extreme learning machine (ELM) is emerged as an effective, fast, and simple solution for real-valued classification problems. Various variants of ELM were recently proposed to enhance the performance of ELM.
Sanyam Shukla, Ram Narayan Yadav
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Scalable Real-Time Attributes Responsive Extreme Learning Machine
International Journal of Computational Intelligence Systems, 2020 Extreme learning machine (ELM) has recently attracted many researchers' interest due to its very fast learning speed, and ease of implementation.
Hongbo Wang +3 more
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Globality-Locality Preserving Maximum Variance Extreme Learning Machine
Complexity, 2019 An extreme learning machine (ELM) is a useful technique for machine learning; however, the existing extreme learning machine methods cannot exploit the geometric structure information or discriminate information of the data space well.
Yonghe Chu +8 more
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Image Classification Using Low-Rank Regularized Extreme Learning Machine
IEEE Access, 2019 Extreme learning machine (ELM), a least-square-based learning algorithm, is a competitive machine learning method and provides efficient unified learning solutions for the applications of classification and regression.
Qin Li +4 more
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An improved algorithm for incremental extreme learning machine
Systems Science & Control Engineering, 2020 Incremental extreme learning machine (I-ELM) randomly obtains the input weights and the hidden layer neuron bias during the training process. Some hidden nodes in the ELM play a minor role in the network outputs which may eventually increase the network ...
Shaojian Song, Miao Wang, Yuzhang Lin
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Realization of a Hybrid Locally Connected Extreme Learning Machine With DeepID for Face Verification
IEEE Access, 2019 Most existing state-of-the-art deep learning algorithms discover sophisticated representations in huge datasets using convolutional neural networks (CNNs) that mainly adopt backpropagation (BP) algorithm as the backbone for training the face recognition ...
Shen Yuong Wong +3 more
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GSA‐ELM: A hybrid learning model for short‐term traffic flow forecasting
IET Intelligent Transport Systems, 2022 Accurate and timely short‐term traffic flow forecasting is an essential component for intelligent traffic management systems. However, developing an effective and robust forecasting model is challenging due to the inherent randomness and nonlinear ...
Zhihan Cui +5 more
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