A Comprehensive Study of Neural Network Using R
| Autor: | Avinash N J, Sowmya Bhat, Renita Pinto, Rama Moorthy H |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Theoretical computer science
Artificial neural network 0202 electrical engineering electronic engineering information engineering Order (ring theory) 020201 artificial intelligence & image processing 02 engineering and technology 010501 environmental sciences 01 natural sciences Human psychology Field (computer science) Replication (computing) 0105 earth and related environmental sciences |
| Zdroj: | 2020 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). |
| DOI: | 10.1109/icpects49113.2020.9337009 |
| Popis: | Various scientific studies have always tried to figure out the behavior of biological neurons in order to develop a mechanism which will efficiently work like human brain. Therefore artificial modeling of neurons and establishing various connections among them is termed as neural network algorithms. These algorithms have proved to be one of the efficient ways of replication human psychology. Various computer languages have been tried out and ${R}$ is another new approach to this field. In our work we have tried to understand these neural networks in terms of computer programming language ${R}$ and how ${R}$ can become beneficial in understanding and modeling |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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