Abstract
This paper presents the study and analysis of a learning algorithm called as Hebbian-LMS learning rule by the means of an artificial neural network (ANN). Hebbian-LMS itself is a combination of two learning paradigms, which are LMS and Hebb’s rule being supervised and unsupervised, respectively. The combined Hebbian-LMS acts as unsupervised learning and has a wide application in the field of engineering. In this paper, Hebbian-LMS is combined with LMS algorithm using ANN, which makes the whole neural network architecture supervised in nature.
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Vartika, Sakshi (2019). Implementation of Hebbian-LMS Learning Algorithm Using Artificial Neural Network. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 817. Springer, Singapore. https://doi.org/10.1007/978-981-13-1595-4_51
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DOI: https://doi.org/10.1007/978-981-13-1595-4_51
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