Designing neural networks for modeling biological data: A statistical perspective
In this paper, we propose a strategy for the selection of the hidden layer size in feedforward neural network models. The procedure herein presented is based on comparison of different models in terms of their out of sample predictive ability, for a specified loss function. To overcome the problem...
Saved in:
Main Authors: | Michele La Rocca, Cira Perna |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2013-09-01
|
Series: | Mathematical Biosciences and Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2014.11.331 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Structural phase transitions in neural networks
by: Tatyana S. Turova
Published: (2013-08-01) -
Improved bootstrap X¯ control chart for non-normally distributed data
by: Sukma Adi Perdana, et al.
Published: (2025-06-01) -
Testing convolutional neural network based deep learning systems: a statistical metamorphic approach
by: Faqeer ur Rehman, et al.
Published: (2025-01-01) -
Estimation of zooplankton density with artificial neural networks (a new statistical approach) method, Elazığ-Türkiye
by: Bulut Hilal
Published: (2023-12-01) -
Same or Different? Comparing the Coverage Rate of Five Different Approaches for Testing the Difference of Two Groups Means
by: Bittmann, Felix
Published: (2025-02-01)