Method for constructing colony count regression prediction model and method for detecting freshness of fish by using model

The invention relates to a method for constructing a colony count regression prediction model and a method for detecting the freshness of fish by using the model. The construction method of the colonycount regression prediction model comprises the steps of performing hyperspectral image detection on...

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Hauptverfasser: YE RONGKE, DUAN QINGLING, LIU CHUNHONG, LI DAOLIANG, GUO YUCHEN, WEI YAOGUANG
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creator YE RONGKE
DUAN QINGLING
LIU CHUNHONG
LI DAOLIANG
GUO YUCHEN
WEI YAOGUANG
description The invention relates to a method for constructing a colony count regression prediction model and a method for detecting the freshness of fish by using the model. The construction method of the colonycount regression prediction model comprises the steps of performing hyperspectral image detection on a fish sample, preprocessing a hyperspectral image, obtaining a training sample and establishing the colony count regression prediction model; after the colony count regression prediction model is constructed, acquiring a hyperspectral image of the to-be-detected fish sample through a hyperspectral sorter, and predicting the colony count of the to-be-detected fish sample so as to determine the freshness of the to-be-detected fish sample. According to the invention, a kernel extreme learning machine is optimized by using the differential evolution algorithm to further establish the fish colony count regression model; according to the model, nondestructive detection can be carried out on thecolony count content of t
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subjects CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
HANDLING RECORD CARRIERS
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MEASURING
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
TESTING
title Method for constructing colony count regression prediction model and method for detecting freshness of fish by using model
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