Open AccessApplication of Neural Network in Letter Recognition Using the Perceptron Method
Author(s) -
Bagus Suteja
Publication year - 2021
Publication title -
instal
Language(s) - English
Resource type - Journals
eISSN - 2808-683X
pISSN - 2085-5702
DOI - 10.54209/jurnalkomputer.v11i02.9
Subject(s) - artificial neural network , computer science , artificial intelligence , time delay neural network , perceptron , set (abstract data type) , multilayer perceptron , machine learning , object (grammar) , value (mathematics) , probabilistic neural network , pattern recognition (psychology) , programming language
Modeling with neural networks is the learning and adjustment of an object. The perceptron method is a learning method with supervision in a neural network system. In designing a neural network that needs to be considered is the number of specifications that will be identified. A neural network consists of a number of neurons and a number of inputs. To identify some letters, it takes several neurons to distinguish them. These neurons will generate a combination value that is used to identify the letters. so that the resulting network must have parameters that can be set by changing through the rules of learning with supervision.