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Endek Classification Based On GLCM Using Artificial Neural Networks with Adam Optimization
2020
Jurnal Elektronik Ilmu Komputer Udayana
Not many people know that endek cloth itself has 4 known variances. .Nowadays. Computing and classification algorithm can be implemented to solve classification problem with respect to the features data as input. We can use this computing power to digitalize these endek pattern. The features extraction algorithm used in this research is GLCM. Where these data will act as input for the neural network model later. There is a lot of optimizer algorithm to use in back propagation phase. In this
doi:10.24843/jlk.2020.v09.i02.p16
fatcat:j6bkyqjokjbfdfpp6mmuse5ap4