Customer churn classification through a weights and structure determination neural network : доклад, тезисы доклада

Mourtas Spyridon D.

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Аннотация: In today's corporate world, acquiring and keeping clients are the most important priorities. Every business's market is expanding quickly, which is increasing the number of subscribers. Because neglect could result in a drop in profitability from a major standpoint, it has become imperative for service providers to limit churn rates. These days, identifying which customers are most likely to leave a business requires a lot less work thanks to machine learning. Taking this into account, a novel weights and structure determination (WASD) neural network has been built to meet the aforementioned challenge of customer churn classification, as well as to handle its unique characteristics. Motivated by the observation that WASD neural networks outperform conventional back-propagation neural networks in terms of slow training speed and trapping in a local minimum, we enhance the WASD algorithm's learning process with a new activation function for best adapting to the customer churn model. Superior performance and flexibility to problems are demonstrated in an experimental investigation using a dataset from a telecommunications provider.

Год издания: 2024

Авторы: Mourtas Spyridon D.

Источник: Hybrid Methods of Modeling and Optimization in Complex Systems (HMMOCS-II-2023)

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Библиотечно-издательский комплекс СФУ

Сообщение об ошибке

Customer churn classification through a weights and structure determination neural network : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций

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Сообщение об ошибке

Customer churn classification through a weights and structure determination neural network : доклад, тезисы доклададоклад, тезисы доклада, статья из сборника материалов конференций

Похожие публикации

Customer churn classification through a weights and structure determination neural network : доклад, тезисы доклада
доклад, тезисы доклада, статья из сборника материалов конференций