Acceso al sitio web del Consejo de Políticas de Infraestructura

   
Inicio  /  Applied Sciences  /  Vol: 13 Par: 10 (2023)  /  Artículo
ARTÍCULO
TITULO

A Novel Sampling Method Based on Normal Search Particle Swarm Optimization for Active Learning Reliability Analysis

Yi-li Yuan    
Chang-ming Hu    
Liang Li    
Jian Xu and Ge Wang    

Resumen

The present study can provide an efficient sampling method for candidate points in the iteration process of active learning reliability analysis.

PÁGINAS
pp. 0 - 0

 Artículos similares

       
 
Aristeidis Karras, Christos Karras, Konstantinos C. Giotopoulos, Dimitrios Tsolis, Konstantinos Oikonomou and Spyros Sioutas    
Federated learning (FL) has emerged as a promising technique for preserving user privacy and ensuring data security in distributed machine learning contexts, particularly in edge intelligence and edge caching applications. Recognizing the prevalent chall... ver más
Revista: Information

 
Zhiguo Liang, Lijun Zhang and Xizhe Wang    
Since failure of steam turbines occurs frequently and can causes huge losses for thermal plants, it is important to identify a fault in advance. A novel clustering fault diagnosis method for steam turbines based on t-distribution stochastic neighborhood ... ver más
Revista: Algorithms

 
Yiqun Liu, Hailong Lu and Yue Cui    
The exploration of the ocean is essential for the exploitation of marine resources and the sustainable development of human society. In order to assess both the health and the resources of the marine environment, a variety of chemical and biological samp... ver más

 
Noah J. Bagazinski and Faez Ahmed    
Ship design is a years-long process that requires balancing complex design trade-offs to create a ship that is efficient and effective. Finding new ways to improve the ship design process could lead to significant cost savings in the time and effort requ... ver más

 
Xiaochun Sun, Chenmou Wu and Shuqun Yang    
With the proliferation of Knowledge Graphs (KGs), knowledge graph completion (KGC) has attracted much attention. Previous KGC methods focus on extracting shallow structural information from KGs or in combination with external knowledge, especially in com... ver más
Revista: Applied Sciences