Aquatic product multi-dimensional growth factor selection method and application

A technology of growth factors and aquatic products, which is applied in special data processing applications, complex mathematical operations, design optimization/simulation, etc., can solve problems such as patent publications that have not yet been found, and achieve good practical value, performance improvement, and convenient calculation.

Inactive Publication Date: 2021-01-22
TIANJIN AGRICULTURE COLLEGE
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] Through the search, no patent publications related to the patent application of the present invention have been found

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  • Aquatic product multi-dimensional growth factor selection method and application
  • Aquatic product multi-dimensional growth factor selection method and application
  • Aquatic product multi-dimensional growth factor selection method and application

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Embodiment Construction

[0031] Below in conjunction with embodiment, the present invention is further described, and following embodiment is descriptive, not limiting, can not limit protection scope of the present invention with following embodiment.

[0032] The raw materials used in the present invention, if no special instructions, are conventional commercially available products, the methods used in the present invention, if no special instructions, are conventional methods in this area, and the quality of each material used in the present invention is routine use quality.

[0033] A method for selecting multidimensional growth factors of aquatic products, the steps are as follows:

[0034] The first step: collect n sample data of growth factors of aquatic products, each sample has p variables, construct n×p order matrix X with original sample data, that is, X=[X 1 , X 2 ,...,X p ] T , where X i =[x i1 , x i2 ,...,x ip ] T , i=1,2,...,n;

[0035] Step 2: Transform the original sample da...

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Abstract

The invention relates to an aquatic product multi-dimensional growth factor selection method. The method comprises the following steps: constructing an n*p-order matrix by using original sample data;transforming the original sample data matrix, and calculating the eigenvalue of the matrix and the corresponding orthogonal unit eigenvector; calculating the growth factor of the comprehensive original sample data variable according to the descending sort of the characteristic values, and calculating the cumulative contribution rate; establishing a stepwise regression equation; calculating the association degree between the key growth factor and the original sample data variable; and observing to obtain the influence of each variable in the original sample data on the key growth factor, and explaining the key growth factor. The method has the advantages of being simple in concept, convenient to calculate, optimal in linear reconstruction error and the like, and has good practical value. The selected growth factors integrate various factors related to growth and development of aquatic products, the key growth factors can be explained according to comprehensive coefficients, and a foundation is laid for subsequent growth model construction and future exploration of association rules of the growth factors.

Description

technical field [0001] The invention belongs to the technical field of aquatic products, in particular to a method for selecting multidimensional growth factors of aquatic products and its application. Background technique [0002] The sample data used to establish the aquatic product growth model involves multiple aspects such as feeding, water quality, and environment, and contains multiple categories of factors that affect the growth and development of aquatic products. Growth factors reflect some characteristic information of the growth and development of aquatic products, and together they can describe the objective laws of growth and development of aquatic products. These growth factor variables correspond to different dimensions of aquatic product modeling data, and multidimensional data contains rich and detailed information about aquatic product growth. [0003] There is a certain correlation between the various dimensions of the aquatic product modeling data, and ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/16
CPCG06F30/20G06F17/16
Inventor 华旭峰郑迎坤孙学亮田云臣薛洋洋
Owner TIANJIN AGRICULTURE COLLEGE
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