I have never heard of this word in futures. Is it a factor that affects the rise and fall? There are supply and demand, weather, transportation, economic, political, currency and other factors that are all factors.

I searched for amplitude factors for you, and only a stress factor amplitude appeared

The law of fatigue crack growth is to study the fracture mechanical behavior and characteristics of materials under dynamic loads. Dynamic loads are generally The alternating stress changes periodically and therefore has maximum and minimum values. The stress intensity factor is a physical quantity that characterizes the stress field at the crack tip. The calculation formula of this physical quantity includes stress. Therefore, the stress intensity factor value of the crack tip can be calculated when corresponding to the maximum value of alternating stress. Similarly, corresponding to the alternating stress The stress intensity factor value at the crack tip can also be calculated at the minimum value. The difference between the two values ??is the stress intensity factor amplitude. This parameter directly affects the fatigue crack growth rate.

The stress intensity factor amplitude threshold ΔKth value is affected by multiple nonlinear factors. In the field of artificial neural network research, it has been proven that a feedforward neural network with any number of hidden layer nodes can approximate a continuous function with arbitrary accuracy, and is therefore widely used in pattern recognition and function approximation. Based on this principle, the back propagation algorithm of artificial neural network is used to study the prediction of the stress intensity factor amplitude threshold value ΔKth of 50CrMoA steel, which enables the application of BP neural network in the prediction of ΔKth value. Comparison of applied experimental data shows that the maximum error between the output value obtained by using the neural network and the experimental value is 16392%, indicating that the model can predict the stress intensity factor amplitude threshold ΔKth value based on learning sample data. It has the characteristics of high prediction accuracy, simple and easy to implement method, and has strong learning and fault tolerance functions.