The particle swarm optimization algorithm is used to optimize the kernel function of the support vector machine to establish a model to predict whether a fan ...

Xu et al. [19] adopted a Support Vector Machine (SVM) for wind turbine icing detection, with Particle Swarm Optimization (PSO) to optimize its parameters. The ...

Bibliographic details on Predicting fan blade icing by using particle swarm optimization and support vector machine algorithm.

The optimal parameters of the support vector machine are obtained using particle swarm optimization algorithm. Finally, the characteristic value and parameters ...

Featured research (2). Predicting fan blade icing by using particle swarm optimization and support vector machine algorithm · Article.

Wind turbine blade icing detection using a novel bidirectional gated recurrent unit with temporal pattern attention and improved coot optimization algorithm.

A Hybrid Model Based on Back-Propagation Neural Network and Optimized Support Vector Machine with Particle Swarm Algorithm for Assessing Blade Icing on Wind ...

Predicting fan blade icing by using particleswarm optimization and support vector machine algorithm ; 1. 基于LE-ISTOA-SVM的聚合釜化工过程故障诊断 ; 2. 基于WOA-VMD ...

Dec 6, 2022 · Xu, W. Tan, and T. Li, “Predicting fan blade icing by using particle swarm optimization and support vector machine algo- rithm,” ...