Optimization of Hyperparameters on Migraine Classification Using Artificial Neural Networks on Human Brain's Neuronal Structure-Reference-Cited by-同舟云学术

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Optimization of Hyperparameters on Migraine Classification Using Artificial Neural Networks on Human Brain's Neuronal Structure

Published:2024-03-15 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Contemporary Computing and Communications (InC4)
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Author:

Singh Kamred Udham¹,Siddhi Pragya²,Jain Ritesh³,Singh Teekam⁴,Raja Linesh⁵,Varshney Neeraj⁶

Affiliation:

1. School of Computing, Graphic Era Hill University,Dehradun,India

2. G.L. Bajaj Institute of Technology and Management,Greater Noida,Uttar Pradesh,India

3. Delhi skill and entrepreneurship University (DSEU),New Delhi

4. Graphic Era Deemed to be University,Department of Computer Science and Engineering,Dehradun,India

5. Manipal University, Jaipur,Department of Computer Applications,Jaipur

6. GLA University,Department of Computer Engineering & Applications,Mathura,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10648985/10648990/10649258.pdf?arnumber=10649258

Reference18 articles.

1. Tuning the parameters of an artificial neural network using central composite design and genetic algorithm

2. A novel type of activation function in artificial neural networks: Trained activation function

3. Impact of Varying Neurons and Hidden Layers in Neural Network Architecture for a Time Frequency Application

4. The Learning Effect of Different Hidden Layers Stacked Autoencoder

5. An appropriate number of neurons in a hidden layer for personal authentication using delta brainwave signals

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