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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.
Singh et al. (Fri,) studied this question.
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