A new approach to predict the missing values of algae during water quality monitoring programs based on a hybrid moth search algorithm and the random vector functional link network

Faculty Science Year: 2019
Type of Publication: ZU Hosted Pages:
Authors:
Mohamed El Sayed Ahmed Muhamed
Journal: ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING Elsevier Volume:
Keywords : , , approach , predict , missing values , algae during    
Abstract:
Here, we propose a new alternative machine learning method that combines the advantage of the Random Vector Functional Link Network (RVFL) with Moth Search Algorithm (MSA) to predict the missing values of total algal count during water qu
    
     
 
       

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