Ecological risk assessment method based on multidimensional cloud model-fuzzy support vector machine

Abstract

The present invention discloses an ecological risk evaluation method based on multidimensional cloud model-fuzzy support vector machine. First, the evaluation factors and evaluation criteria should be determined, and multiple evaluation factors should be regarded as multiple attributes of support vector machine samples, and according to the evaluation criteria, the The ecological risk is divided into multiple levels, and then the cloud model parameters are determined according to the classification index, and the super-entropy is regarded as the product of the parameter k and the entropy that obey the normal distribution, and the multi-level cloud generator with multi-level is generated by the positive multi-dimensional normal cloud generator. training samples of each attribute and calculate the degree of certainty that the samples belong to a specific level, generate a training sample set, and then build a model and optimize parameters, select a Gaussian function as the kernel function, and use a one-to-one method to generate multiple second-class classifications The multi-class classifiers are thus combined into a multi-class classifier. K-fold cross-check and grid method are used for parameter optimization to determine the optimal parameters C and σ. The training sample set generated by the cloud generator is used to build the model. Finally, the model is used to classify the measured data in the region, determine the ecological risk level of the region, and realize the comprehensive ecological risk assessment under multiple factors.

Description

technical field [0001] The invention belongs to the ecological risk evaluation technology, in particular to an ecological risk evaluation method based on a multidimensional cloud model-fuzzy support vector machine. Background technique [0002] The rapid economic growth has brought more and more artificially synthesized compounds into the ecosystem, and the requirement of sustainable development urgently requires an effective method system to evaluate the risks of compounds in the environment. The concept of ecological risk assessment has been born only 20 years ago, and the relevant technical methods are still immature, and there are certain problems in application and practice. Therefore, it is urgent to improve the ecological risk assessment method and introduce new methods into the assessment system. need. [0003] Due to the nonlinear characteristics of the evaluation system, especially in multi-index decision-making problems, most evaluation models do not solve the no...

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Problems solved by technology

From qualitative recognition to quantitative measurement, it is difficult to describe with existing methods

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