Self-Adaptive Electronics using Artificial Neural Networks

Author:

S Anita1,Joon Rakesh Kumar2,Devi S. Rukmani3,Khandan K. Lakshmi4,Howard Eric5,M Rajendiran6

Affiliation:

1. R.M.K Engineering College,Department of Electrical and Electronics Engineering,Kavaraipettai,Tamil Nadu,India,601206

2. Ganga Institute of Technology and Management,Department of Electronics and Communication Engineering,Kablana,Haryana,India,124104

3. Saveetha College of Liberal Arts and Sciences, SIMATS Deemed to be University,Department of Computer Science,Chennai,Tamil Nadu,India,600124

4. Madanapalle Institute of Technology & Science,Department of Electrical and Electronics Engineering,Madanapalle,Andhra Pradesh,India,517325

5. Macquarie University,Department of Physics and Astronomy,Australia

6. Panimalar Engineering College,Department of Computer Science and Engineering,Chennai,Tamil Nadu,India,600123

Publisher

IEEE

Reference14 articles.

1. Neuroscience-Inspired Artificial Intelligence

2. A novel based mix-column architecture for AES-128bit algorithm;T;International Journal of Applied Engineering Research,2015

3. States versus Rewards: Dissociable Neural Prediction Error Signals Underlying Model-Based and Model-Free Reinforcement Learning

4. Design of Miniaturized Single Bit MEMS Phase Shifter using MEMS Switches

5. A Survey on Self-Healing Systems using Machine Learning Algorithms;Nirmal;Procedia Computer Science,2020

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