Land proposing project prediction method and system based on one-dimensional convolutional neural network
A technology of convolutional neural network and prediction method, which is applied in the field of prediction of proposed land projects, can solve problems such as land project prediction, and achieve the effect of saving manpower and material resources and facilitating scientific development
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Embodiment 1
[0044] see figure 1 , the prediction method of the proposed land project based on the one-dimensional convolutional neural network of the present invention includes:
[0045] S1: Determine the land attributes that affect the type of land project;
[0046] S2: Preprocess the data of the land project type and land attribute respectively based on the prediction model of the proposed land project;
[0047] S3: Take the land attribute data as the input of the prediction model of the proposed land project, and output the prediction result of the land project type.
[0048] In this embodiment, the type of the proposed land project can be predicted through the prediction model of the proposed land project, and a reasonable prediction result of the land project type can be obtained to guide the development of the land project. Through the above method, not only can the land project be predicted quickly and accurately , to make a reasonable selection of the proposed land project, and ...
Embodiment 2
[0092] A computer system includes a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the above method when the processor executes the computer program.
[0093] The system can implement the above-mentioned various embodiments of the prediction method for the proposed land construction project based on the one-dimensional convolutional neural network, and can achieve the same beneficial effect, which will not be repeated here.
[0094] To sum up, the present invention preprocesses the data of the land project type and the land attribute respectively based on the prediction model of the proposed land project by determining the land attribute that affects the land project type, and uses the land attribute data as the land. The input of the prediction model of the proposed project and the output of the prediction result of the land project type can scientifically obtain the most reasonable type...
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