Intelligent warehouse material identification method and system based on deep learning
A technology for intelligent warehousing and material identification, applied in the field of intelligent warehousing material identification based on deep learning, can solve the problem of low material identification accuracy, achieve the effect of improving learning ability, improving training effect, and alleviating low material identification accuracy
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Embodiment 1
[0026] figure 1 It is a flowchart of a deep learning-based intelligent warehouse material identification method provided according to an embodiment of the present invention. like figure 1 As shown, the method specifically includes the following steps:
[0027] In step S102, a deep neural network model based on the target evolution algorithm is constructed and trained to obtain a trained deep neural network model.
[0028] In the embodiment of the present invention, the deep neural network model based on the target evolution algorithm is a deep neural network model using the target evolution algorithm instead of BP on the basis of the traditional deep neural network based on error back propagation algorithm (BP). Among them, the target evolution algorithm is an evolution algorithm after improving the operator of the traditional evolution algorithm. Specifically, the target evolution algorithm includes: a target selection operator, a target crossover operator and a target mut...
Embodiment 2
[0142] Figure 7 A schematic diagram of a deep learning-based intelligent warehouse material identification system provided according to an embodiment of the present invention. like Figure 7 As shown, the system includes: a first training module 10 , a second training module 20 and an identification module 30 .
[0143] Specifically, the first training module 10 is used for constructing and training a deep neural network model based on the target evolution algorithm to obtain a trained deep neural network model.
[0144] In the embodiment of the present invention, the deep neural network model based on the target evolution algorithm is a deep neural network model using the target evolution algorithm instead of BP on the basis of the traditional deep neural network based on error back propagation algorithm (BP). Among them, the target evolution algorithm is an evolution algorithm after improving the operator of the traditional evolution algorithm. Specifically, the target e...
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