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The chart shows the performance of a machine using artificial intelligence to play a selection of classic video games, compared with that of a professional human tester.The work presented in Nature is more than just a bit of fun.
It was also found that many machine parameters and material parameters interact when determining the performance of a machine.
It is well-known that the performance of a machine learning-based method, particularly modern machine learning, depends on a variety of training samples.
The measurement of contact characteristics of the spindle holder taper interface is critical for the evaluation of the performance of a machine tool spindle system.
This paper presents a computationally efficient methodology to evaluate and improve dynamic performance of a machine tool at the design stage.
In this paper a kinematic model of machine tools is used with which resulting deviations of workpieces can be simulated, thus giving a realistic impression of the geometric performance of a machine tool by considering all relevant influence factors.
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Effect of the failure rate of machines The failure rate of the operating machines affects the performance of a machining system significantly.
Scale-up is a process of developing a larger version of a processing machine based on the performance of a smaller machine.
Traditional trace-driven simulators can take a large amount time to conduct a performance evaluation of a machine, especially as the number of instructions increases.
This model is able to evaluate the performance of a given machine with influence of the geometry.
However, to understand the performance of a real machine, the behavior of the overall system must be considered in more detail.
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performance of a market
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