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Prediction device and equipment based on BP (Back Propagation) nerve network

A technology of BP neural network and prediction device, which is applied in the field of data mining, can solve the problems of unintuitive prediction results, unfavorable algorithm promotion and use, etc., and achieves the effect of avoiding algorithm failure and high flexibility.

Active Publication Date: 2012-08-01
BEIJING UNION UNIVERSITY
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Problems solved by technology

[0019] Looking back at the development of various data mining prediction algorithms, we can see that the bottleneck of their promotion is that different algorithms require different training data formats and specialized parameter settings, and the prediction process often requires human intervention and settings. A large amount of auxiliary data is provided, and the prediction results are not intuitive enough, which is very unfavorable for the promotion and use of the algorithm

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  • Prediction device and equipment based on BP (Back Propagation) nerve network
  • Prediction device and equipment based on BP (Back Propagation) nerve network

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Embodiment Construction

[0039]The present invention is described below in combination with specific embodiments.

[0040] In a non-limiting embodiment, in terms of weather forecasting, using the method of the present invention, it is only necessary to provide digital historical data such as maximum temperature and minimum temperature within a period of time, and the future maximum temperature and minimum temperature can be predicted and other information, and there is no need to provide other additional data assistance in the process, and the prediction results can also be intuitively reflected.

[0041] Taking temperature prediction as an example, it provides temperature information in N rows and 2 columns, and the column attributes are the highest temperature and the lowest temperature respectively. After receiving the raw data, the device starts preprocessing, that is, the raw temperature data of N rows and 2 columns is normalized to a value between 0 and 1; then the input and output matrix of the...

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Abstract

The invention discloses a prediction device based on a BP (Back Propagation) nerve network. The prediction device comprises a data receiving unit, a data preprocessing unit, an initializing unit, a learning unit, an iteration prediction unit and a data recovery unit. The used improved algorithm can automatically judge the original training data mode, and perform sample establishment and normalization on the original training data mode. The prediction device can be suitable for various complicated situations, has high flexibility and can finish prediction without auxiliary data and recover prediction results to be in a numerical range corresponding to the original training data.

Description

technical field [0001] The present invention mainly relates to the technical field of data mining. Background technique [0002] 1. Data mining technology: [0003] With the development of storage devices and database technology, data storage is no longer a problem. On the contrary, people have begun to feel overwhelmed by a large amount of data. Therefore, there is an urgent need for a scientific method to convert massive data into practically meaningful knowledge for people. And law, data mining is the technology produced under this background. [0004] In the late 1980s, data mining quietly emerged as a new research field. The purpose of data mining research is to discover those hidden information with specific rules that people are interested in in large data sets. With the development of data mining, this technology is applied in many fields such as business management, government office, scientific research and engineering development. [0005] In general, the basi...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06N3/02
Inventor 马楠王汕汕周林沈洪曹国良
Owner BEIJING UNION UNIVERSITY
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