The initial receptive field is like a small window that observes the surroundings. It sets the maximum receptive field of LNO, which is marked in dotted yellow squares and blue circles in Figure 7. The maximum receptive field determines how far the observer can see, and it is defined as the distance from the center of the initial receptive field to the edge of the surrounding area.
Receptive Fields After Training
After training, the receptive fields change, and they become larger than the initial receptive field. This is like expanding the small window to observe a wider area. The receptive fields are marked in dotted yellow squares and blue circles in Figure 7, and they show how much the observer can see after training.
Analytical Range of Dependence
The analytical range of dependence is like a radar that detects the distance of objects. It shows how far the observer can see based on the initial receptive field and the maximum receptive field. The analytical range of dependence is marked in blue circles in Figure 7, and it provides a detailed view of the observer’s capabilities after training.
Conclusion
In conclusion, the baseline parameters for compressible fluid dynamics are like a combination of a small window (initial receptive field), an expanding window (receptive fields after training), and a radar (analytical range of dependence). These parameters provide insights into the observer’s capabilities and help us understand how they change after training. By demystifying complex concepts using everyday language and engaging metaphors, we can better comprehend the baseline parameters for compressible fluid dynamics.
