This model combines the advantages of global and local kernel function and has fast training speed. At the same time, an efficient optimization algorithm called ...
The cuckoo search algorithm is used to guide the orbits of chaotic systems and the OGY method is improved so that a chaotic system can be stabilized for ...
Jan 24, 2014 · Abstract—An extreme learning machine (ELM) can be re- garded as a two stage feed-forward neural network (FNN) learning system which randomly ...
Jun 8, 2021 · Have we abandoned kernel functions for deep learning? Is there a good reason why people don't use kernels that I'm just missing?
Nov 14, 2023 · Redundant nodes in a kernel incremental extreme learning machine (KI-ELM) increase ineffective iterations and reduce learning efficiency.
[11] pointed out that the common Gauss kernel function and polynomial kernel function are very sensitive to the changes of kernel parameters, so the selection ...
Dec 19, 2018 · This paper presents a novel Legendre neural network method with improved extreme learning machine algorithm for solving several types of linear ...
In this study, a novel kernel extreme learning machine-grey wolf optimizer (KELM-GWO) model was proposed to predict the UCS of 271 rock samples.
Missing: Reproducing | Show results with:Reproducing
According to the characteristics that the kernel function of extreme learning machine (ELM) and its performance have a strong correlation, a novel extreme ...
For improving the prediction accuracy of robot execution failures, this paper proposes a novel KELM learning algorithm using the particle swarm optimization ...
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