Land evaluation method based on artificial neural network
An artificial neural network and evaluation method technology, applied in the field of land survey and evaluation, can solve the problems of large knowledge deviation, difficult to describe the complex relationship between land quality and its influencing factors, sensitive to the accuracy of empirical knowledge, etc., and achieve high accuracy of results. , ease of understanding, improved accuracy and usability
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[0026] Utilize the land evaluation method based on genetic optimization constructed by the present invention, its structure is as attached figure 1 As shown, the proposed evaluation method is used to evaluate the suitability of paddy fields in a certain area, and the initial evaluation indicators are as follows:
[0027] Evaluation factor index system of initial suitable paddy fields
[0028]
[0029] Optimizing the connection weight of neural network with genetic algorithm includes the following steps:
[0030] (1) Arrange the connection weights and thresholds of the neural network in a certain order and encode them with a binary coding scheme, randomly generate a set of distributions, and then construct a set of code chains, each code chain represents a weight of the neural network Distribution, that is, a neural network corresponding to a specific value of weight and threshold;
[0031] (2) Calculate its mean square error on the training sample set for the generated ne...
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