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Improved WOA-GRU-based flood flow prediction method and system

A technology of flood flow and forecasting method, applied in forecasting, data processing applications, instruments, etc., to achieve the effect of enhancing local optimal ability, improving effectiveness and reliability, and high forecasting accuracy

Pending Publication Date: 2021-10-01
HUAIYIN INSTITUTE OF TECHNOLOGY
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Problems solved by technology

[0005] Purpose of the invention: The present invention provides an improved WOA-GRU flood flow prediction method and system, which solves the technical problems caused by the complexity of the flood formation process in the prior art and improves the prediction accuracy of flood flow

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  • Improved WOA-GRU-based flood flow prediction method and system
  • Improved WOA-GRU-based flood flow prediction method and system
  • Improved WOA-GRU-based flood flow prediction method and system

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Embodiment Construction

[0065] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0066] The present invention provides a kind of flood flow prediction method based on improved WOA-GRU, such as figure 1 As shown, it specifically includes the following steps:

[0067] Step 1: Collect flood data (sample data) and flood-related environmental data from hydrological observation sites, clean the collected data, eliminate outliers, and use the sample mean corresponding to environmental factors to fill in missing values. Various data are converted into matrix data according to time series.

[0068] Environmental data related to flooding includes: local rainfall, temperature, humidity. The sample mean used to impute missing values ​​is:

[0069]

[0070] where x i is the sample mean of the i-th factor, n is the number of samples, f i (t) is the value of the t-th data of the i-th factor.

[0071] Step 2: Establish a random forest model to p...

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Abstract

The invention discloses an improved WOA-GRU flood flow prediction method and system, and the method comprises the following steps: (1) carrying out the preprocessing of original data obtained in advance, and converting the processed data into matrix data according to a time sequence; (2) establishing a random forest model to perform feature selection, training related data and performing importance measurement; (3) performing normalization processing on the data, and dividing sample data into a training set and a test set according to a time sequence; (4) constructing a GRU model, and initializing parameters of the GRU model; (5) optimizing the hidden layer unit number and the learning rate of the GRU model by using the improved WOA algorithm; and (6) establishing an improved WOA-GRU flood flow prediction model, predicting the flood flow by using test set data and the model, and outputting an error and a prediction result. According to the invention, the improved WOA-GRU model is used for flood flow prediction, and the method has the characteristics of high convergence speed, high generalization ability and high prediction precision, and is more suitable for flood flow prediction.

Description

technical field [0001] The invention belongs to the field of flood flow forecasting, in particular to an improved WOA-GRU based flood flow forecasting method and system. Background technique [0002] Throughout the ages, natural disasters are still the greatest enemy that our people all over the world have encountered, and our people around the world have gradually grown stronger in the process of fighting against self-identified disasters that endanger mankind. my country's population continues to grow and the state of the land and forests is being destroyed by humans. Once severe weather such as heavy rains and strong convection occurs, floods will continue to occur. Flood disasters will cause huge damage to human life and property every time, so if accurate flood flow forecasting can be achieved, the loss of people caused by flood disasters can be greatly reduced, which is of great significance to the entire society and human beings. [0003] Flood flow forecasting is a ...

Claims

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Application Information

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IPC IPC(8): G06F30/27G06N3/00G06Q10/04
CPCG06F30/27G06N3/006G06Q10/04Y02A10/40
Inventor 嵇春雷彭甜张楚孙娜赵环宇夏鑫孙伟李沂蔓王振
Owner HUAIYIN INSTITUTE OF TECHNOLOGY