Parameter online measurement method based on improved BP neural network
A technology of BP neural network and measurement method, applied in the field of Internet of Things and intelligent manufacturing, BP neural network algorithm, can solve the problems of long parameter acquisition time and untimely abnormal feedback, so as to speed up the convergence speed, improve the feedback adjustment speed, shorten the The effect of training time
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[0038] The following will be attached Figure 1-Figure 3 The present invention is described in detail, and the technical solutions in the embodiments of the present invention are clearly and completely described. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present invention.
[0039] The present invention provides an on-line parameter measurement method based on an improved BP neural network through improvement, which can overcome the problems of long parameter collection time and untimely abnormal feedback in the industrial Internet of Things.
[0040] Taking the measurement of water content of wheat in the koji-making process as an example, the above-mentioned improved BP neural network algorithm is used to co...
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