会议论文详细信息
2nd Nommensen International Conference on Technology and Engineering | |
Analysis variation value momentum algorithm backpropagation method in the recognizing process of temperature pattern in Medan | |
Putra, Purwa Hasan^1 ; Zarlis, Muhammad^1 | |
Fakultas Ilmu Komputer Dan Teknologi Informasi, University of Sumatera Utara, Medan, Indonesia^1 | |
关键词: Number of iterations; Temperature patterns; Training process; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/420/1/012135/pdf DOI : 10.1088/1757-899X/420/1/012135 |
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来源: IOP | |
【 摘 要 】
In this paper, From the results of the study it can be concluded. A different target error will produce a different number of iterations. The smaller the target error, the greater the number of iterations. The smaller the target error, the better the accuracy value (the greater). The number of iterations in the training process with variations in momentum values is smaller than without variations in momentum values. The highest level of accuracy is achieved at the target error of 0.001 with a momentum value of 0.4 which is 96.62%.
【 预 览 】
Files | Size | Format | View |
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Analysis variation value momentum algorithm backpropagation method in the recognizing process of temperature pattern in Medan | 430KB | download |