Study on Multi-Objective Optimization of High-Efficiency and Low-NOx Emissions of Power Station Boilers Based on Least Squares Support Vector Machines [PDF]
, 2023 Aiming at the multi-objective optimization of boiler combustion system, on the basis of the established prediction model of boiler combustion system, the weighted-particle swarm algorithm and the multi-objective particle swarm optimization (MOPSO ...
GAN Yunhua +5 more
core +1 more source
Research on Fault Diagnosis Method of Photovoltaic Arrays Based on Improved Grey Wolf Algorithm Optimized Extreme Learning Machine [PDF]
ObjectivesPhotovoltaic arrays operating under complex outdoor conditions encounter various fault types with varying degrees of severity. To accurately assess the working status of photovoltaic arrays, a fault diagnosis method based on an improved grey ...
HAN Maolin +4 more
core +1 more source
Survey of research on application of heuristic algorithm in machine learning [PDF]
, 2019 Aiming at the problems existing in the application of machine learning algorithm,an optimization system of the machine learning model based on the heuristic algorithm was constructed.Firstly,the existing types of heuristic algorithms and the modeling ...
Chunhua WU +3 more
core +1 more source
Study on the temperature prediction model of residual coal in goaf based on ACO-KELM [PDF]
Existing studies on the temperature prediction of residual coal in goafs have mainly focused on the relationship between temperature and gas concentration, with limited attention given to the complex nonlinear relationships between the residual coal ...
HAO Le +5 more
core +1 more source
Walnut defect detection based on improved ELM and computer vision [PDF]
Objective: To address the issues of low accuracy and poor efficiency in walnut defect detection among existing food production enterprises. Methods: Proposed a fast non-destructive detection method for walnut defects that combined improved extreme ...
LIU Chang, XU Jie
core +1 more source
Online performance prediction of CCPP byproduct coal-gas system based on online sequential extreme learning machine [PDF]
, 2016 Aiming at the problem of mismatch between the model and the process for a byproduct coal-gas system in a combined cycle power plant(CCPP) due to frequent changes in working conditions,this article introduces a method for online performance prediction of ...
CHU Fei +4 more
core +1 more source
Gaoya dianqi, 2015 针对变压器故障的特征,结合变压器油中气体分析法以及三比值法,提出了基于遗传算法改进极限学习机的故障诊断方法。由于输入层与隐含层的权值和阈值是随机产生,传统的极限学习机可能会使隐含层节点过多,训练过程中容易产生过拟合现象。该方法运用遗传算法对极限学习机的输入层与隐含层的权值与阈值进行优化,从而提高模型的稳定性和预测精度。将诊断结果与传统的基于极限学习机故障诊断进行对比,结果表明,基于遗传算法改进极限学习机变压器故障诊断的精度更高。
吕忠 +4 more
doaj
Research on intelligent technology for broken chain monitoring on scraper conveyors [PDF]
To address the issues of existing AI algorithm-based broken chain monitoring technologies for underground coal mine scraper conveyors, including poor online learning ability, low detection accuracy, instability, and inadequate adaptability and ...
CHEN Zhuo +4 more
core +1 more source
Gaoya dianqi, 2016 传统单一人工智能方法对变压器故障诊断中采用的大量不完备信息不能够有效处理,导致故障诊断准确率不高。为弥补这一不足,在全面分析粒子群算法（particle swarm optimization,PSO）和极限学习机（extreme learning machine,ELM）各自优势的基础上,构建了一种基于粒子群优化极限学习机的变压器故障诊断方法。该方法以DGA作为特征输入,利用粒子群算法对极限学习机的输入层权值和隐含层阈值进行优化,从而提高变压器故障诊断的精度。实例对比分析表明 ...
袁海满, 吴广宁, 高波
doaj
Decision-making method for residual support force of hydraulic supports during pressurized moving under fragmented roof conditions in ultra-thin coal seams [PDF]
Accurate decision-making on the residual support force of hydraulic supports during pressurized moving under fragmented roof conditions is crucial for improving intelligent mining efficiency in ultra-thin coal seams and ensuring operational safety.
GONG Lingxiao +6 more
core +1 more source