A Comparative Study on Effect of Activation Function Placement in Neural Network Architecture for Regression Problems-Reference-Cited by-同舟云学术

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A Comparative Study on Effect of Activation Function Placement in Neural Network Architecture for Regression Problems

Published:2023-12-15 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE 7th Conference on Information and Communication Technology (CICT)
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Author:

Srivastava Amrita¹,Panda Sashmita²,Jose Justin³,Reddy Karapureddy Jaswanth⁴,Nadella Sree Teja⁵,Bhatia Vimal³,Pandey Sharad K.⁶

Affiliation:

1. MITS,Department of Electronics Engineering,Gwalior,India,474005

2. Northwestern University,Department of Neurobiology,Evanston,USA

3. IIT,Department of Electrical Engineering,Indore,India,453552

4. NIT,Department of Electronics and Communication Engineering,Durgapur,India,713209

5. NIT,Department of Computer Science and Engineering,Durgapur,India,713209

6. Wineural Technologies Private Limited,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10455089/10455098/10455600.pdf?arnumber=10455600

Reference22 articles.

1. A logical calculus of the ideas immanent in nervous activity

2. Learning representations by back-propagating errors

3. An adaptive least squares algorithm for the efficient training of artificial neural networks

4. Increased rates of convergence through learning rate adaptation

5. Bounds on number of hidden neurons of multilayer perceptrons in classification and recognition

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