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els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human inforSTALL 发表于 2025-3-29 03:38:58
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Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenels. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human infor剥皮 发表于 2025-3-30 02:30:17
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenels. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human infor无王时期, 发表于 2025-3-30 05:10:06
Muin S. A. Tuffaha,Hans Guski,Glen Kristiansenels. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human infor