Arithmetic Optimization With Ensemble Deep Learning SBLSTM-RNN-IGSA Model for Customer Churn Prediction

Arithmetic Optimization With Ensemble Deep Learning SBLSTM-RNN-IGSA Model for Customer Churn Prediction

Companies in a wide variety of industries use the customer churn prediction (CCP) process to keep their current clientele happy. Insurance companies need to be able to forecast churn to enhance the potency and functionality of deep learning methods. Deep learning techniques have a significant impact...

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Bibliographic Details
Main Authors: Nagaraju Jajam, Nagendra Panini Challa, Kamepalli S. L. Prasanna, C H Venkata Sasi Deepthi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Customer churn
insurance industry
ensemble deep learning
arithmetic optimization algorithm
feature extraction
stacked bidirectional long short-term memory
Online Access:https://ieeexplore.ieee.org/document/10216284/

Internet

https://ieeexplore.ieee.org/document/10216284/

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