Basic of Artificial Neural Network Overview
Keywords:
Artificial Neural Network (ANN), Supervised, Unsupervised
Abstract
An Artificial Neural Network (ANN) is a data handling worldview propelled by how organic sensory systems, like the brain, process data. The vital component of this worldview is the clever design of the data handling framework. It is made out of numerous profoundly interconnected handling elements (neurons) to tackle explicit issues. Two altogether different methodologies, rule-based frameworks and neural networks have delivered progressively excellent applications that settle on complex choices, assess speculation openings, and help grow new items. Neural networks are a famous objective portrayal for learning. ANNs, similar to individuals, learn as a visual cue. An ANN is designed for a particular application, for example, design recognition or information order, through a learning interaction. Learning in natural frameworks includes changes by the synaptic associations that exist between the neurons.
References
1. Ms. Sonali. B. Maind et. al., Research Paper on Basic of Artificial Neural Network, International Journal on Recent and Innovation Trends in Computing and Communication Volume: 2 Issue: 1 | January 2014.
2. Girish Kumar Jha, “Artificial Neural Network and its Applications”, IARI New Delhi.
3. Jubin Dipakkumar Kothari” Plant Disease Identification using Artificial Intelligence: Machine Learning Approach”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 11,pp. 11082- 11085, November 2018.
4. Vishal Dineshkumar Soni. (2018). IOT BASED PARKING LOT. International Engineering Journal For Research & Development, 3(1), 9. https://doi.org/10.17605/OSF.IO/9GSAR
5. Vivek Thoutam, “Physical Design, Origins And Applications Of lot”, Journal of Multidisciplinary Cases, Vol 01 , No 01 , Aug-Sept 2021
6. Ankit Narendrakumar Soni (2019). Spatical Context Based Satellite Image Classification-Review. International Journal of Scientific Research and Engineering Development, 2(6), 861-868.
7. I. Ahmad and K. Pothuganti, "Smart Field Monitoring using ToxTrac: A Cyber-Physical System Approach in Agriculture," 2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020, pp. 723-727, doi: 10.1109/ICOSEC49089.2020.9215282.
8. Vivek Thoutam, “A Study On Python Web Application Framework”, “Journal of E1ectronics, Computer Networking and Applied mathematics”, Vol 01 , No 01, Aug-Sept 2021
9. Jubin Dipakkumar Kothari” Garbage Level Monitoring Device Using Internet of Things with ESP8266”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 6,pp. 2995- 2998 , June 2018.
10. sridevi Balne, Anupriya Elumalai, Machine learning and deep learning algorithms used to diagnosis of Alzheimer’s: Review, Materials Today: Proceedings, 2021, https://doi.org/10.1016/j.matpr.2021.05.499.
11. V. D. Soni and A. N. Soni , “Cervical cancer diagnosis using convolution neural network with conditional random field, ” 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021,pp 1746-1751.
12. Ankit Narendrakumar Soni (2019). Crack Detection in buildings using convolutional neural Network. JOURNAL FOR INNOVATIVE DEVELOPMENT IN PHARMACEUTICAL AND TECHNICAL SCIENCE, 2(6), 54-59.
13. T. Zebin and S. Rezvy, “COVID-19 detection and disease progression visualization: deep learning on chest X-rays for classification and coarse localization,” Applied Intelligence, 2020.
14. Ankit Narendrakumar Soni (2018). Application and Analysis of Transfer Learning-Survey. International Journal of Scientific Research and Engineering Development, 1(2), 272-278.
15. Vivek Thoutam, “An Overview On The Reference Model And Stages Of lot Architecture”, “Journal of Artificial Intelligence, Machine Learning and Neural Network”, Vol 01, No 01, Aug-Sept 2021
16. R Alugubelli, “DATA MINING AND ANALYTICS FRAMEWORK FOR HEALTHCARE”, International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.534-546, February 2018, Available at : http://www.ijcrt.org/papers/IJCRT1134096.pdf
17. Jubin Dipakkumar Kothari” Plant Disease Identification using Artificial Intelligence: Machine Learning Approach”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 11,pp. 11082- 11085, November 2018.
2. Girish Kumar Jha, “Artificial Neural Network and its Applications”, IARI New Delhi.
3. Jubin Dipakkumar Kothari” Plant Disease Identification using Artificial Intelligence: Machine Learning Approach”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 11,pp. 11082- 11085, November 2018.
4. Vishal Dineshkumar Soni. (2018). IOT BASED PARKING LOT. International Engineering Journal For Research & Development, 3(1), 9. https://doi.org/10.17605/OSF.IO/9GSAR
5. Vivek Thoutam, “Physical Design, Origins And Applications Of lot”, Journal of Multidisciplinary Cases, Vol 01 , No 01 , Aug-Sept 2021
6. Ankit Narendrakumar Soni (2019). Spatical Context Based Satellite Image Classification-Review. International Journal of Scientific Research and Engineering Development, 2(6), 861-868.
7. I. Ahmad and K. Pothuganti, "Smart Field Monitoring using ToxTrac: A Cyber-Physical System Approach in Agriculture," 2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020, pp. 723-727, doi: 10.1109/ICOSEC49089.2020.9215282.
8. Vivek Thoutam, “A Study On Python Web Application Framework”, “Journal of E1ectronics, Computer Networking and Applied mathematics”, Vol 01 , No 01, Aug-Sept 2021
9. Jubin Dipakkumar Kothari” Garbage Level Monitoring Device Using Internet of Things with ESP8266”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 6,pp. 2995- 2998 , June 2018.
10. sridevi Balne, Anupriya Elumalai, Machine learning and deep learning algorithms used to diagnosis of Alzheimer’s: Review, Materials Today: Proceedings, 2021, https://doi.org/10.1016/j.matpr.2021.05.499.
11. V. D. Soni and A. N. Soni , “Cervical cancer diagnosis using convolution neural network with conditional random field, ” 2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA), 2021,pp 1746-1751.
12. Ankit Narendrakumar Soni (2019). Crack Detection in buildings using convolutional neural Network. JOURNAL FOR INNOVATIVE DEVELOPMENT IN PHARMACEUTICAL AND TECHNICAL SCIENCE, 2(6), 54-59.
13. T. Zebin and S. Rezvy, “COVID-19 detection and disease progression visualization: deep learning on chest X-rays for classification and coarse localization,” Applied Intelligence, 2020.
14. Ankit Narendrakumar Soni (2018). Application and Analysis of Transfer Learning-Survey. International Journal of Scientific Research and Engineering Development, 1(2), 272-278.
15. Vivek Thoutam, “An Overview On The Reference Model And Stages Of lot Architecture”, “Journal of Artificial Intelligence, Machine Learning and Neural Network”, Vol 01, No 01, Aug-Sept 2021
16. R Alugubelli, “DATA MINING AND ANALYTICS FRAMEWORK FOR HEALTHCARE”, International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.534-546, February 2018, Available at : http://www.ijcrt.org/papers/IJCRT1134096.pdf
17. Jubin Dipakkumar Kothari” Plant Disease Identification using Artificial Intelligence: Machine Learning Approach”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, Vol. 7, Issue 11,pp. 11082- 11085, November 2018.
Published
2021-11-22
How to Cite
Baskar. (2021). Basic of Artificial Neural Network Overview. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 2(11), 87-90. Retrieved from https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/130
Section
Articles
