This paper is published in Volume-8, Issue-2, 2022
Area
Artificial Intelligence
Author
Shreyas Barge
Org/Univ
Keraleeya Samajam Dombivli (East), Dombivli, Maharashtra., India
Keywords
Artificial Neural Network, Feed Forward Network, Feedback Network, Activation Functions, Artificial Neuron.
Citations
IEEE
Shreyas Barge. Analytical and Systematic Study of Artificial Neural Network, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shreyas Barge (2022). Analytical and Systematic Study of Artificial Neural Network. International Journal of Advance Research, Ideas and Innovations in Technology, 8(2) www.IJARIIT.com.
MLA
Shreyas Barge. "Analytical and Systematic Study of Artificial Neural Network." International Journal of Advance Research, Ideas and Innovations in Technology 8.2 (2022). www.IJARIIT.com.
Shreyas Barge. Analytical and Systematic Study of Artificial Neural Network, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Shreyas Barge (2022). Analytical and Systematic Study of Artificial Neural Network. International Journal of Advance Research, Ideas and Innovations in Technology, 8(2) www.IJARIIT.com.
MLA
Shreyas Barge. "Analytical and Systematic Study of Artificial Neural Network." International Journal of Advance Research, Ideas and Innovations in Technology 8.2 (2022). www.IJARIIT.com.
Abstract
Artificial Neural Network may be a neural network motivated by the biological neural network where numbers of neurons are interconnected with each other. The neurons in artificial neural network are operating and arranged in such a way that they invigorate the basic construction of the neurons within the human cerebrum. the basic rationale behind the factitious neural network is to implement the structure of the biological neuron in an exceedingly way that the regardless of the function that the human brain perform with the help of biological neural network, that thusly will the machines and frameworks can likewise perform with the help of artificial neural network. This paper gives a concise outline of a man-made neural network with its working, architectures, and general organization, and so forth. This paper additionally express some advantage and disadvantage , application of the artificial neural network in some most vital areas like image processing, signal processing, pattern recognition, function approximation, forecasting supported the past data and a few more.