A Review of Optimization Algorithms for Training Neural Networks-Reference-Cited by-同舟云学术

A Review of Optimization Algorithms for Training Neural Networks

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology (ICSEIET)
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Author:

Srivastava Animesh¹,Rawat Bhupender Singh²,Singh Gulbir³,Bhatnagar Vivek⁴,Saini Parveen Kumar⁵,Dhondiyal Shiv Ashish⁶

Affiliation:

1. Graphic Era Hill University,Department of Computer Science & Engineering,Dehradun

2. College of Smart Computing, COER University,Roorkee

3. MMICT&BM, M.M. (Deemed to be University),Ambala,Haryana,India

4. MMICT&BM(MCA), M.M. (Deemed to be University),Ambala,Haryana

5. Chandigarh University,Department of CSE,Mohali,Punjab

6. Graphic Era (Deemed to be University),Department of Computer Science & Engineering,Dehradun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10303027/10303030/10303287.pdf?arnumber=10303287

Reference20 articles.

1. Performance of Root-Mean-Square Propagation and Adaptive Gradient Optimization Algorithms on Covid-19 Pneumonia Classification

2. Stochastic gradient descent-ascent: Unified theory and new efficient methods;beznosikov;International Conference on Artificial Intelligence and Statistics,2023

3. Optimised Machine Learning-based Translation of Indian Sign Language to Text;sabharwal;Intelligent Systems Engineering J,2023

4. Modeling of nonlinear systems using the self-organizing fuzzy neural network with adaptive gradient algorithm

5. A back propagation NN to optimize the IoT network

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