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Latest Technology and Future Trends

Latest Technology and Future Trends
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Author(s): Meghna Babubhai Patel (Ganpat University, India), Jagruti N. Patel (Ganpat University, India)and Upasana M. Bhilota (Ganpat University, India)
Copyright: 2021
Pages: 4
Source title: Applications of Artificial Neural Networks for Nonlinear Data
Source Author(s)/Editor(s): Hiral Ashil Patel (Ganpat University, India)and A.V. Senthil Kumar (Hindusthan College of Arts and Science, India)
DOI: 10.4018/978-1-7998-4042-8.ch011

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Abstract

ANN can work the way the human brain works and can learn the way we learn. The neural network is this kind of technology that is not an algorithm; it is a network that has weights on it, and you can adjust the weights so that it learns. You teach it through trials. It is a fact that the neural network can operate and improve its performance after “teaching” it, but it needs to undergo some process of learning to acquire information and be familiar with them. Nowadays, the age of smart devices dominates the technological world, and no one can deny their great value and contributions to mankind. A dramatic rise in the platforms, tools, and applications based on machine learning and artificial intelligence has been seen. These technologies not only impacted software and the internet industry but also other verticals such as healthcare, legal, manufacturing, automobile, and agriculture. The chapter shows the importance of latest technology used in ANN and future trends in ANN.

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