ARTÍCULO
TITULO

Extraction of Rules From Artificial Neural Networks for Nonlinear Regression

Setiono    
R. Leow    
W. K. Zurada    
J. M.    

Resumen

No disponible

 Artículos similares

       
 
Guido Bologna    
The explainability of connectionist models is nowadays an ongoing research issue. Before the advent of deep learning, propositional rules were generated from Multi Layer Perceptrons (MLPs) to explain how they classify data. This type of explanation techn... ver más
Revista: Information

 
Rawan Ghnemat    
Diabetic retinopathy (DR) is an increasingly common eye disorder that gradually damages the retina. Identification at the early stage can significantly reduce the severity of vision loss. Deep learning techniques provide detection for retinal images base... ver más

 
Abir Mahmud, Mustafa Md Wasif, Hridoy Roy, Fareen Mehnaz, Tasnim Ahmed, Md. Nahid Pervez, Vincenzo Naddeo and Md. Shahinoor Islam    
Microplastics? dangers and the absence of effective regulation technologies have risen to prominence as a worldwide issue in recent years. South Asian countries, such as Bangladesh, are among the most threatened nations to face the drastic consequence of... ver más
Revista: Water

 
Djamel Saba, Abdelkader Hadidi, Omar Cheikhrouhou, Monia Hamdi and Habib Hamam    
With the sudden emergence of many dangerous viruses in recent years and with their rapid transmission and danger to individuals, most countries have adopted several strategies, such as closure and social distancing, to control the spread of the virus in ... ver más
Revista: Applied Sciences

 
Guido Bologna    
In machine learning, ensembles of models based on Multi-Layer Perceptrons (MLPs) or decision trees are considered successful models. However, explaining their responses is a complex problem that requires the creation of new methods of interpretation. A n... ver más
Revista: Algorithms