The measurement of the ball mill level is very important for the normal operation monitoring, control and protection of the milling system. Therefore, the soft measurement of the ball mill level is also one of the problems to be solved by the system. The level of the ball mill is affected by the load of the steel ball and the amount of coal stored in the mill. Some of the concepts used in the literature are the amount of coal stored rather than the level of material, which is one-sided, because the amount of coal stored only considers the influence of coal and does not take into account the impact of steel ball loading.
At the same time, the output and unit consumption of the mill are also affected by the load of the steel ball and the amount of coal stored. Therefore, the concept of the material level has not been widely successful in engineering in the measurement of the material level in the grinding cylinder than the method of storing a certain amount of coal. Therefore, the system uses the soft measurement method of neural network to seek to solve this problem. The advantage of the neural network is reflected in the training of a large number of typical samples under various working conditions to realize the recurrence of the working characteristics of the ball mill itself. This feature is also used by the inverse control of the neural network.
Another important function of amino acids is to provide energy to the human body. Normally, a healthy body on a general diet will use carbohydrates as its main fuel, but when the main source is depleted due to strenuous exercise, protein and amino acids can be used as a last resort. Amino acids also play an important role in food taste. Protein doesn't have much taste, but each amino acid has its own taste, and combining them is one of the important factors that define the taste of food
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