A Prediction Method of Coupling Relationship Between Network Resources and Environment

Abstract

The invention discloses a method for predicting the coupling relationship between network resources and the environment, comprising the following steps: preprocessing the original incomplete parameter set through a multidimensional fuzzy mapping-based missing value processing method and a service expansion method to obtain preliminary parameters Set; through the feature construction method based on multi-dimensional environmental parameters, perform feature construction on the initially obtained parameter set to obtain data with stronger representation capabilities; integrate forward sequence search, backward sequence search, and simulated annealing algorithm to step S2 to obtain The characteristics of the data are dimensionally reduced, thereby reducing the variable space of each dimension and the complexity of multi-dimensional representation model training; the decision tree-based model training method is used to train, learn and predict the data, and realize the accurate description of network resources under the constraints of complex environments . The present invention can quickly and accurately complement missing values, and can improve prediction accuracy while achieving the purpose of improving model efficiency.

Description

technical field [0001] The present invention relates to the technical field of network communication, and more specifically, to a method for predicting the coupling relationship between network resources and the environment. Background technique [0002] In the actual network communication process, due to problems such as equipment failures and environmental mutations, environment sensing devices collect incomplete or inaccurate data, which in turn leads to abnormal representation results of network resource status. Whether the characterization of network resource status is accurate will have a great impact on the utilization of network resources. [0003] If the incomplete or inaccurate data collected by the environment sensing device is not filled, the data will be entered into the analysis model with a value of 0 by default. Whether it is in the training or testing phase, the input of 0 value will greatly affect the model's ability to Normal data response, resulting in i...

AI Technical Summary

Problems solved by technology

[0010] In order to solve the current actual network communication process, due to problems such as equipment failure and environmental mutation, the environmental sensing equipment collects incomplete or inaccurate data, while the existing technology faces the situation of missing data, and directly deletes the missing data. The value method, or the missing value is filled with the previous row of data or the mean value. This conventional fitting method solves the problem of low accuracy of the prediction results of multidimensional nonlinear functions. A prediction method for the coupling relationship between network resources and the environment is proposed. It can quickly and accurately complete missing values ​​and improve prediction accuracy

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