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A Study on Single and Multi-layer Perceptron Neural Network | IEEE Conference Publication | IEEE Xplore

A Study on Single and Multi-layer Perceptron Neural Network


Abstract:

Perceptron is the most basic model among the various artificial neural nets, has historically impacted and initiated the research in the field of artificial nets, with in...Show More

Abstract:

Perceptron is the most basic model among the various artificial neural nets, has historically impacted and initiated the research in the field of artificial nets, with intrinsic learning algorithm and classification property. It has boosted the world of neural networks and profoundly impacted the numerous advancements. From the very beginning it has proved to be the key to the way machines perceive, making them artificially intelligent through extensive training processes. In this study, the ideology of perceptron learning, its concepts, working, applications and a very brief introduction to multilayer perceptron has been discussed.
Date of Conference: 27-29 March 2019
Date Added to IEEE Xplore: 29 August 2019
ISBN Information:
Conference Location: Erode, India

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