ARTÍCULO
TITULO

Genetic fuzzy rule-based system using MOGUL learning methodology for energy consumption forecasting

Aria JOZI    
Tiago PINTO    
Isabel PRAÇA    
Francisco SILVA    
Brigida TEIXEIRA    
Zita VALE    

Resumen

No disponible

 Artículos similares

       
 
Mohamed Y. Abdel-Kader, Ahmed M. Ebid, Kennedy C. Onyelowe, Ibrahim M. Mahdi and Ibrahim Abdel-Rasheed    
Infrastructure projects are usually complicated, expensive, long-term mega projects; accordingly, they are the type of projects that most need optimization in the design, construction and operation stages. A great deal of earlier research was carried out... ver más
Revista: Infrastructures

 
Emiro Antonio Campo, Jose Alejandro Cano, Rodrigo Gómez-Montoya, Elkin Rodríguez-Velásquez and Pablo Cortés    
The current requirements of many manufacturing companies, such as the fashion, textile, and clothing industries, involve the production of multiple products with different processing routes and products with short life cycles, which prevents obtaining de... ver más
Revista: Algorithms

 
Nawaf Alharbe, Abeer Aljohani and Mohamed Ali Rakrouki    
Due to the large-scale development of cloud computing, data center electricity energy costs have increased rapidly. Energy saving has become a major research direction of virtual machine placement problems. At the same time, the multi-dimensional resourc... ver más
Revista: Algorithms

 
Yufeng Zhao, Junshi He, Xiaohui Yan and Jianwei Liu    
In order to predict the dilution characteristics of vertical buoyant jets constrained by lateral obstructions, we propose a new method based on a commonly used machine learning algorithm: the adaptive neuro-fuzzy inference system (ANFIS). By using experi... ver más

 
Gustavo Olague, Jose Armando Menendez-Clavijo, Matthieu Olague, Arturo Ocampo, Gerardo Ibarra-Vazquez, Rocio Ochoa and Roberto Pineda    
Despite recent improvements in computer vision, artificial visual systems? design is still daunting since an explanation of visual computing algorithms remains elusive. Salient object detection is one problem that is still open due to the difficulty of u... ver más
Revista: Applied Sciences