Hose equivalent volume elastic modulus calculation method based on generic regression neural network
A regression neural network, bulk elastic modulus technology, applied in the field of hydraulic accessories, can solve the problems of weakening elastic deformation ability, decreasing elastic coefficient, affecting the control performance of the system, etc., to achieve the effect of improving control accuracy
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[0049] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:
[0050] This invention may be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. In the drawings, components are exaggerated for clarity.
[0051] refer to figure 1 Shown, a kind of hose equivalent volume elastic modulus calculation method based on pan-regression neural network of the present invention, comprises steps as follows:
[0052] Step 1), testing the double-cylinder device to obtain raw data;
[0053] like figure 2 As shown, the double-cylinder device includes a fixed piston cylinder, a moving piston cylinder, a test hose, and a functional hose, wherein the cylinder body and the piston rod of the fixed piston c...
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