Providing an intelligent management system for allocating telecommunications system facilities to predict customer churn based on artificial neural networks and the evolutionary algorithm of smart droplets
Author(s):
Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
In the telecommunications industry, a large volume of data is generated by a large number of customers on a daily basis, and acquiring a new customer base is more costly than retaining existing customers, and effective customer analysis is very important to achieve business prosperity. Therefore, in this study, an intelligent model for allocating telecommunications system resources to predict customer churn based on artificial neural networks and the evolutionary algorithm of intelligent droplets was presented, in order to make informed business decisions that increase revenue and improve customer satisfaction. The aim of this study is to investigate how consumer predictions change based on machine learning classification algorithms. This method is able to select the best machine learning classifier for the consumer dataset under analysis. The role of the artificial neural network based on the intelligent water algorithm in this model is to perform an extensive analysis of consumer patterns using the classifier. In simulation, the proposed model has better results than other methods in various criteria.
Language:
Persian
Published:
Distributed computing and Distributed systems, Volume:7 Issue: 1, 2025
Pages:
12 to 23
https://www.magiran.com/p2835833
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