Flood control system effective engineering intelligent identification method based on random forest

Abstract

The invention discloses a flood control system effective engineering intelligent identification method based on a random forest. The method comprises the steps that a random forest feature attribute set is established; establishing a mixed equivalent scheduling model of the flood control system, and generating a training and verification sample set; constructing a random forest base classifier based on a random thought; constructing a random forest classification model based on an'integration 'thought; and establishing a classification precision evaluation index considering unequal cost, and evaluating the identification precision of the dominant project. Aiming at the characteristics of historical flood'small samples' of a flood control system, in order to fully utilize an attribute set and training sample information, the method is based on two ideas of random and integration of a random forest, and improves the classification precision of significant engineering; by introducing a machine learning principle, the efficiency of identifying the dominant project is improved; and evaluating the random forest classification precision by utilizing the expected overall cost in allusion to the problems of different types of error costs and the like of identification results.

Description

technical field [0001] The invention relates to a real-time dispatching method for a flood control system, in particular to an intelligent identification method for a flood control system effective project based on a random forest. Background technique [0002] In the real-time joint dispatching of the flood control system, it is an effective way to reduce the dimensionality of the joint dispatching model of the flood control system by intelligently identifying effective projects based on real-time water and rain information and establishing a "hybrid equivalent dispatching" model based on the self-organization. The key is how to Accurately identify effective engineering sets. [0003] "Significant engineering" is a brand-new concept in the field of flood control dispatching. At present, there are few studies on it. The existing technology is to identify effective engineering based on inference rules. This method is to establish an identification index system and determine ...

AI Technical Summary

Problems solved by technology

[0005] In the process of effective engineering identification, different types of errors will cause different degrees of consequences

Misjudgment of non-effective projects as effective projects will only increase the complexity of flood control scheduling; misjudgment of effective projects as non-effective projects will reduce flood control effects, increase flood control risks, and even cause downstream flood disasters. Therefore, the cost of such mistakes is much greater than that of the former

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