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On-line time series prediction method based on dynamic fuzzy cognitive map

A fuzzy cognitive map and time series technology, applied in forecasting, data processing applications, calculations, etc., can solve the problems of data change trends and characteristics that are difficult to capture artificially, and achieve accurate prediction results

Inactive Publication Date: 2018-11-06
SHANDONG NORMAL UNIV
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Problems solved by technology

[0007] Therefore, expert experience may not be able to model numerical data such as time series, because the changing trends and characteristics of different data in different fields are difficult to capture artificially

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  • On-line time series prediction method based on dynamic fuzzy cognitive map
  • On-line time series prediction method based on dynamic fuzzy cognitive map
  • On-line time series prediction method based on dynamic fuzzy cognitive map

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Embodiment Construction

[0061] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0062] It should be pointed out that the following detailed description is exemplary and intended to provide further explanation to the present application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0063] It should be noted that the terminology used here is only for describing specific implementations, and is not intended to limit the exemplary implementations according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural, and it should also be understood that when the terms "comprising" and / or "comprising" are used in this specification, they mean There are features, steps, operations, means, components and / or combinatio...

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Abstract

The invention discloses an on-line time series prediction method based on a dynamic fuzzy cognitive map, and the method includes the following steps: forming information granules and mapping a time series to an activation level of the information granules to form nodes of a fuzzy cognitive map; optimizing the information granules on a parameter level of the fuzzy cognitive map, and determining theweights of the nodes of the fuzzy cognitive map; and dynamically adjusting the fuzzy cognitive map according to data coming in at a current moment, and utilizing the dynamically adjusted fuzzy cognitive map to perform time series prediction. The on-line time series prediction method based on a dynamic fuzzy cognitive map adjusts a clustering center and parameters according to the specific situation, realizes dynamic optimization, and enables a model to capture the change of data information in real time, thereby enabling the prediction to be more accurate.

Description

technical field [0001] The invention relates to an online time series prediction method based on a dynamic fuzzy cognitive map. Background technique [0002] In order to effectively analyze, predict and control large-scale, uncertain dynamic systems, it is urgent to study how to discover the characteristics from a large amount of, dynamic, mixed and uncertain data, and overcome the current problems of big data modeling. problem. Data analysis and processing techniques must be able to deal with dynamic data and information with fuzzy and random uncertainties, and can express the discovered intrinsic characteristics and patterns as models that are easy to process, interpretable in natural language, and closer to reality. Among them, the fuzzy cognitive map has the characteristics of language description, numerical reasoning, and expression of fuzzy information, making it an important part between the original data and the system model established in the system. The predictio...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04
CPCG06Q10/04
Inventor 骆超张楠楠
Owner SHANDONG NORMAL UNIV
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