Alternating Transfer Functions to Prevent Overfitting in Non-Linear Regression with Neural Networks
Author:
Affiliation:
1. Institute Digital Engineering, Technical University of Applied Sciences Würzburg-Schweinfurt, Schweinfurt, Germany
Funder
Bayerische Staatsministerium für Wirtschaft, Landesentwicklung und Energie
Hightech Agenda Bayern
Publisher
Informa UK Limited
Subject
Artificial Intelligence,Theoretical Computer Science,Software
Link
https://www.tandfonline.com/doi/pdf/10.1080/0952813X.2023.2270995
Reference38 articles.
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2. Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping;Caruana R.;Advances in Neural Information Processing Systems,2000
3. Incorrect least-squares regression coefficients in method-comparison analysis.
4. Selection of Proper Neural Network Sizes and Architectures—A Comparative Study
5. Selecting Machine Learning Algorithms Using Regression Models
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