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Dergiler / Artificial Intelligence Theory and Applications / 2026 / Volume: 1 Issue: 1

A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing

Mücella Özbay Karakuş(YOZGAT BOZOK UNIVERSITY)
Sayfa
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Yayın Tarihi
2021-04-30
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

As a result, since the number of data is quite high, it is estimated with a 94.3% higher accuracy whether to open a time deposit account in the bank compared to statistical methods and other artificial neural network methods.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this study, an artificial neural network was constructed and trained with the dataset that created from anonymous data obtained from 45.211 people within the scope of a bank's marketing campaign.
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Temel Bulgular & Veri:The data set consists of 16 features and a result, the validity of which is based on expert opinion.
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Sonuç & Katkı:As a result, since the number of data is quite high, it is estimated with a 94.3% higher accuracy whether to open a time deposit account in the bank compared to statistical methods and other artificial neural network methods.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:artificial intelligence · multi-layer neural marketing · bank telemarketing

Abstract

In this study, an artificial neural network was constructed and trained with the dataset that created from anonymous data obtained from 45.211 people within the scope of a bank's marketing campaign. The dataset was obtained from an international database, UCI-Irvine Machine Learning Repository. The data set consists of 16 features and a result, the validity of which is based on expert opinion. For the marketing campaigns of the bank, the status of opening a time deposit account at the bank was examined based on the customers’ personal characteristics. For this purpose, the results obtained by using the statistical methods used in the literature for the same data set and the multi-layered artificial neural network (MLNN) were compared. As a result, since the number of data is quite high, it is estimated with a 94.3% higher accuracy whether to open a time deposit account in the bank compared to statistical methods and other artificial neural network methods.

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Bu Makaleye Atıf Yap

Karakuş, M. Ö. (2021). A Multi-Layer Neural Network Approach to Predict The Success of Bank Telemarketing. Artificial Intelligence Theory and Applications, Volume: 1 Issue: 1. https://ajindex.com/articles/1609647

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