Analyzing Diabetic Dynamics with MRK4, and LSTM Techniques with Multiplicative Calculus

Bugce Eminaga Tatlicioglu

doi:10.17776/csj.1441313

EN

Analyzing Diabetic Dynamics with MRK4, and LSTM Techniques with Multiplicative Calculus

Abstract

This study compares the use of Long Short-Term Memory (LSTM) networks for predictive modeling with multiplicative calculus. We evaluate and quantitatively analyze both methodologies to determine their prediction performance. While LSTM networks are investigated for them power to learn and generalize patterns, the multiplicative calculus technique is analyzed for its ability to grasp complex connections within the data. This study attempts to shed light on the efficacy of each approach by carefully analyzing error measures including mean squared error (MSE), root mean square error (RMSE), and mean absolute percentage error (MAPE). The results aid in the comprehending of the subtleties related to LSTM networks and multiplicative calculus, assisting practitioners and researchers in choosing the best method for tasks involving predictive modeling.

Keywords

References

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Details

Primary Language

English

Subjects

Experimental Mathematics , Biological Mathematics , Applied Mathematics (Other)

Journal Section

Research Article

Authors

Bugce Eminaga Tatlicioglu ^*
0000-0001-8854-4464
Cyprus

Publication Date

December 30, 2024

Submission Date

February 22, 2024

Acceptance Date

October 24, 2024

Published in Issue

Year 2024 Volume: 45 Number: 4

DOI

https://doi.org/10.17776/csj.1441313

IZ

https://izlik.org/JA25GE72ZP

Cite

RIS / Bibtex

APA

Eminaga Tatlicioglu, B. (2024). Analyzing Diabetic Dynamics with MRK4, and LSTM Techniques with Multiplicative Calculus. Cumhuriyet Science Journal, 45(4), 769-776. https://doi.org/10.17776/csj.1441313

Öz

Analyzing Diabetic Dynamics with MRK4, and LSTM Techniques with Multiplicative Calculus

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite