Tuning structural parameters of neural networks using genetic algorithm: A credit scoring application-Reference-Cited by-同舟云学术

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Tuning structural parameters of neural networks using genetic algorithm: A credit scoring application

Published:2021-06-14 Issue:7 Volume:38 Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Kazemi Hamid Reza¹²^ORCID,Khalili‐Damghani Kaveh³^ORCID,Sadi‐Nezhad Soheil⁴

Affiliation:

1. Department of System and Industrial Engineering Industrial Management Institute Tehran Iran

2. Department of IT Iranian National Tax Administration Tehran Iran

3. Department of Industrial Engineering South Tehran Branch, Islamic Azad University Tehran Iran

4. Department of Statistics and Actuarial Science University of Waterloo Waterloo Canada

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.12733

Reference47 articles.

1. An evaluation of alternative scoring models in private banking

2. Credit scoring and decision making in Egyptian public sector banks

3. Neural nets versus conventional techniques in credit scoring in Egyptian banking

4. Bahnsen A. C. &Gonzalez A. M.(2011 December).Evolutionary algorithms for selecting the architecture of a MLP neural network: A credit scoring case. pp. 725–732.https://doi.org/10.1109/ICDMW.2011.80

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1. E-commerce recommender system based on improved K-means commodity information management model;Heliyon;2024-05

2. Deep Learning and Machine Learning Techniques for Credit Scoring: A Review;Communications in Computer and Information Science;2024

3. Enhancing Credit Card Default Prediction: Prioritizing Recall Over Accuracy;Lecture Notes in Networks and Systems;2024

4. Estimation of optimum thresholds for binary classification using genetic algorithm: An application to solve a credit scoring problem;Expert Systems;2022-12-02

5. FinBrain 2.0: when finance meets trustworthy AI;Frontiers of Information Technology & Electronic Engineering;2022-09-30

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