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Informative Article | Computer Science Engineering | Volume 8 Issue 2, February 2019 | Pages: 1132 - 1134 | India
The Error Correction Learning with Delta Rule
Abstract: Learning rule is a method or a mathematical logic includes an iterative process that helps a Neural Network to learn from the existing conditions and improve its performance. In machine learning, the delta rule is a gradient descent learning rule for updating the weights of the inputs to artificial neurons in a single-layer neural network. It is a special case of the more general back propagation algorithm.
Keywords: Delta Rule, Back Propagation, Perceptron Error learning in ANN, Least Mean Square LMS Rule
How to Cite?: Jogimol Joseph, "The Error Correction Learning with Delta Rule", Volume 8 Issue 2, February 2019, International Journal of Science and Research (IJSR), Pages: 1132-1134, https://www.ijsr.net/getabstract.php?paperid=ART20195389, DOI: https://dx.doi.org/10.21275/ART20195389