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International Journal of System Design and Information Processing

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An Overview of Artificial Neural Network, Working and Training of ANN

Paper ID:
IJSDIP_2024_VOLUME 12_ISSUE 2_29-35
Author's Name:
Noor Mahboob Subani, J.Raja, K Senthil Vijay, V. Neeraja and Dr.M.Vadivukarassi
Volume:
12
Issue:
Issue 2
Year:
2024
Pages:
29-35

Abstract

An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous systems, such as the brain, process information. The key element of this paradigm is the novel structure of the information processing system. It is composed of a large number of highly interconnected processing elements (neurons) working in unison to solve specific problems. ANNs, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections that exist between the neurons. This is true of ANNs as well. This paper gives overview of Artificial Neural Network, working & training of ANN. It also explain the application and advantages of ANN.

Keywords

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