Agricultural product price fluctuation early warning method and system
A technology of early warning system and agricultural products, applied in the fields of instruments, business, data processing and other fields, can solve the problems of subjectivity of analysis results, limited experience of experts, etc., to achieve universal applicability and pertinence, and improve the effect of objectivity
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Embodiment 1
[0033] figure 1 It is a method flow chart of Embodiment 1 of the method for early warning of price fluctuations of agricultural products in the present invention.
[0034] see figure 1 , the early warning method for price fluctuations of agricultural products, including:
[0035] Step 101: Sampling the historical price fluctuations of agricultural products of the type to be tested in the area to be tested to obtain sample data;
[0036] Step 102: Analyze the sample data using the kernel density estimation method to obtain the probability density function of the price fluctuation of agricultural products; the probability density function is a function reflecting the possible probability of the price fluctuation value of the agricultural product; this step is specifically include:
[0037] Using a Gaussian kernel function as the kernel function of the kernel density estimation method, analyzing the sample data to obtain a probability density function;
[0038] Select the win...
Embodiment 2
[0045] An early warning method for price fluctuations of agricultural products, comprising:
[0046] Sampling the historical price fluctuations of the agricultural products of the type to be tested in the area to be tested to obtain sample data.
[0047] Analyzing the sample data using a kernel density estimation method to obtain a probability density function of price fluctuations of agricultural products;
[0048] The probability density function is expressed as:
[0049]
[0050] in is a probability density function, n is the quantity of the sample data, and i is the sequence number of the sample data; X i is the i-th sample data, K(x) is the kernel function, x is the variable of the probability density function, and h is the window width.
[0051] Select Gaussian kernel function as kernel function in the present embodiment, then described kernel function K (x) is:
[0052]
[0053] The deviation and error of the probability density function obtained according to t...
Embodiment 3
[0077] figure 2 It is a system structure diagram of an embodiment of the agricultural product price fluctuation early warning system of the present invention.
[0078] see figure 2 , the agricultural product price fluctuation early warning system, including:
[0079] The sampling module 201 is used to sample the historical price fluctuations of the agricultural products of the type to be tested in the area to be tested to obtain sample data;
[0080] The kernel density estimation module 202 is configured to use a kernel density estimation method to analyze the sample data to obtain a probability density function of price fluctuations of agricultural products; the probability density function reflects the probability of possible occurrence of the price fluctuation value of the agricultural products function;
[0081] The warning degree fluctuation value acquisition module 203 is used to obtain the price fluctuation value within the preset price fluctuation range correspond...
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