Comparison of Neural Networks vs Human Brain Learning Rate and Accuracy Under Complex Influences using SDM

DOI

10.2991/978-94-6463-718-2_29How to use a DOI?

Keywords

System Dynamics Modelling (SDM); Neural Networks (NN); Human Brain; ARIMA Forecasting

Abstract

This research focus on the comparative learning process of neural networks and human brain, exploring the accuracy trends influenced by parameters like noise complexity, learning speed and decay frequency. Using a System Dynamics Model (SDM), the simulation of evolution of neural network and human accuracy over time. Results reveal that neural networks demonstrate rapid learning with high variability, while humans exhibit slower yet steadier improvement. An ANOVA analysis and T-test confirms significant differences in learning behaviors between systems, as well as strong interaction effects over time. While correlation test shows relationship in both these System’s sub-factors. By, using ARIMA forecasting model the stabilization for both systems i.e. Human and Neural Network is predicted, and the findings show that neural networks retain the higher susceptibility to noise compared to humans. These findings suggest some useful ideas for adjusting the training strategies in both AI and human learners, signifying the balance between speed, stability, and consistency in learning processes. This research helps a lot to understand the advanced learning dynamics for adaptive learning systems, human-machine collaboration, and performance tuning in both systems.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Vincent Gnanaraj
AU  - Chenni Kumaran
AU  - Fahad Iqbal
AU  - Karthick Karthick
AU  - Gurumoorthy Gurumoorthy
PY  - 2025
DA  - 2025/05/23
TI  - Comparison of Neural Networks vs Human Brain Learning Rate and Accuracy Under Complex Influences using SDM
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 326
EP  - 345
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_29
DO  - 10.2991/978-94-6463-718-2_29
ID  - Gnanaraj2025
ER  -