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State estimation method based on combination of BP neural network and D-S evidence theory

A BP neural network and evidence theory technology, applied in biological neural network model, neural architecture, computing and other directions, can solve problems such as lack, and achieve the effect of simple method and good stability

Inactive Publication Date: 2018-02-23
JIANGSU MARITIME INST
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] At present, there is a lack of a state estimation method based on the combination of BP neural network and D-S evidence theory with good stability of estimation results.

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  • State estimation method based on combination of BP neural network and D-S evidence theory
  • State estimation method based on combination of BP neural network and D-S evidence theory
  • State estimation method based on combination of BP neural network and D-S evidence theory

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Embodiment 1

[0028] A kind of state estimation method based on BP neural network and D-S evidence theory combination of the present invention is characterized in that comprising the following steps:

[0029] (1) Use the output of BP network to construct the evidence of D-S evidence theory;

[0030] The constructed BP network is a three-layer BP neural network, and the training samples are composed of input samples and expected outputs.

[0031] (2) According to D-S evidence theory is a powerful method to deal with uncertain information, it is proposed to use the normalized output of BP neural network as evidence to determine the basic credibility distribution in D-S evidence theory;

[0032] D-S Evidence Theory Algorithm Description

[0033] The D-S evidence theory algorithm can capture and fuse information from multiple sensors, which has the ability to determine certain factors in pattern classification.

[0034] Assume that the system has n mutually exclusive and exhaustive original s...

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Abstract

The invention discloses a state estimation method based on combination of a BP neural network and a D-S evidence theory. The state estimation method comprises the steps of: (1) constructing evidence of the D-S evidence theory by using an output result of the BP neural network; (2) proposing a way of using the output result of the BP neural network after normalization as evidence for determining basic credibility assignment in the D-S evidence theory since the D-S evidence theory is a powerful method for processing uncertain information; (3), and carrying out evidence combination calculation toobtain an estimated state. The state estimation method is simple, has good stability of estimation results, uses a value of a sum of square error function (SSE) of the BP neural network to representuncertainty evidence, and forms a plurality of BPA by adopting a plurality of BP networks.

Description

technical field [0001] The invention relates to the field of electronic technology and control, in particular to a state estimation method based on the combination of BP neural network and D-S evidence theory. Background technique [0002] Information fusion is the organic combination of homogeneous or heterogeneous information from different sources, different modes, different media, different times, and different representations to obtain a more accurate description of the monitored object. Fusion of information from multiple sensors can obtain precise characteristics that cannot be obtained by a single sensor. [0003] In a multi-sensor information fusion system, for different fusion structures, information fusion can be distributed on three information layers, namely, pixel-level fusion, feature-level fusion and decision-level fusion. No matter which layer it is in, it is inseparable from the important link of research on object state estimation. In the information fus...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/251
Inventor 何金灿
Owner JIANGSU MARITIME INST
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