Research Article
Image Analysis Technology in the Detection of Particle Size Distribution and the Activity Effect of Low-Silicon Copper Tailings
Table 1
Setting of experimental information and network parameters.
| Deep learning framework | TensorFlow | Learning rate | 0.1 |
| Training and testing data sets | ImageNet data set, LSC tailing SEM image data set | Batch size | 256 | System | Ubuntu 18.04 | Number of iterations | 60 | CPU | i7-7700 | Momentum | 0.9 | GPU | NVIDIA GTX 1080 | Loss function | Exponential loss | Hard drive capacity | | Number of hidden layer units | 100 |
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