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Hydrological time series prediction method and system based on Gaussian blur information particles

A hydrological time series, Gaussian fuzzy technology, applied in fuzzy logic-based systems, instruments, electrical components, etc., can solve problems such as low accuracy and inaccuracy of river water level prediction, and achieve improved interpretability, speed, and improvement. the effect of the ability

Inactive Publication Date: 2020-05-08
SHANDONG NORMAL UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Existing river water level prediction accuracy is not high, not accurate enough

Method used

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  • Hydrological time series prediction method and system based on Gaussian blur information particles
  • Hydrological time series prediction method and system based on Gaussian blur information particles
  • Hydrological time series prediction method and system based on Gaussian blur information particles

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Experimental program
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Embodiment 1

[0031] Embodiment 1, this embodiment provides a hydrological time series prediction method based on Gaussian fuzzy information granules;

[0032] Such as figure 1 As shown, the hydrological time series prediction method based on Gaussian fuzzy information granules includes:

[0033] S1: Obtain the historical hydrological time series of the river;

[0034] S2: Divide the historical hydrological time series of the river to obtain several target time series;

[0035] S3: Perform Gaussian fuzzy on each target time series to construct information granules;

[0036] S4: Construct fuzzy prediction results based on information granules;

[0037] S5: Defuzzify the fuzzy prediction results to obtain the predicted hydrological time series.

[0038] As one or more embodiments, in the S1, the hydrological time series is the daily average water level data of a certain hydrological station.

[0039] As one or more embodiments, in the S2, the specific steps of dividing the historical hyd...

Embodiment 2

[0105] Embodiment 2, this embodiment also provides a hydrological time series prediction system based on Gaussian fuzzy information granules;

[0106] A hydrological time series prediction system based on Gaussian fuzzy information granules, including:

[0107] An acquisition module configured to: acquire the historical hydrological time series of the river;

[0108] A division module configured to: divide the historical hydrological time series of the river to obtain several target time series;

[0109] An information granule construction module configured to: perform Gaussian fuzzy on each target time series to construct an information granule;

[0110] A fuzzy prediction result building module configured to: build a fuzzy prediction result based on information granules;

[0111] The defuzzification processing module is configured to: perform defuzzification processing on fuzzy prediction results to obtain predicted hydrological time series.

Embodiment 3

[0112] Embodiment 3. This embodiment also provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are executed by the processor, the computer instructions in Embodiment 1 are completed. steps of the method described above.

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Abstract

The invention discloses a hydrological time series prediction method and system based on Gaussian fuzzy information particles. The method comprises the steps: acquiring a historical hydrological timeseries of a river; dividing the historical hydrological time series of the river to obtain a plurality of target time series; carrying out gaussian fuzzification on each target time sequence to construct information particles; constructing a fuzzy prediction result based on the information particles; and performing defuzzification processing on the fuzzy prediction result to obtain a predicted hydrological time sequence.

Description

technical field [0001] The present disclosure relates to the technical field of hydrological time series prediction, in particular to a hydrological time series prediction method and system based on Gaussian fuzzy information granules. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] Water level prediction of rivers is a very important link in hydrological forecasting, and changes in water level have trends and seasonality. Time series refers to the sequence of successive observations of the same thing or phenomenon at different times (or spaces), and the sequence itself contains a huge amount of information. The main purpose of studying time series is to predict, that is, to use statistical methods or intelligent technology to obtain the internal evolution law of time series, explain the present and make predictions and analysis of its future ch...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06N7/02G06Q50/26
CPCG06Q10/06G06Q50/26G06N7/02
Inventor 骆超赵圆圆
Owner SHANDONG NORMAL UNIV