Artificial neural networks

talk about the relationship between Artificial neural networks and the conveying industry.

Artificial neural networks mimic the human brain by learning from known observations while minimizing the prediction errors. To minimize the errors, the method organizes neurons into three layers: input, hidden, and output as shown in Figure 1. We follow the methodology outlined in Hu, Zhang, and Yao (2014). [add more here]

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