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In NIR (Near Infrared) spectrum analysis NIR spectrum data is complicated, so it is difficult to analysis the NIR spectrum data. Adopting the linear processing method the data deviation will influence the measuring result. But BP neural network applying in NIR spectrum detection can effectively avoid the data deviation influence. So the paper brings the method of applying BP neural networks in NIR...
A new method to compensate the friction of robot manipulator has been proposed. Friction is a complex nonlinear force, it's structure and parameter is hard to identify. Furthermore, friction model changes wit with many factors. A BP neural network is used to learn and compensate the nonlinear friction in the inner loop and its weight is adjusted on line while working. Thus, network can learn the changes...
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