STUDY ON VISUAL JUDGMENT METHOD OF FERMENTATION DEGREE IN INDUSTRIALIZED BREAD PRODUCTION BASED ON BP NEURAL NETWORK

Study on visual judgment method of fermentation degree in industrialized bread production based on BP neural network

Glucosamine/Chondroitin Objective: A BP neural network model was established to accurately determine the maturity of dough fermentation.Methods: Used machine vision technology to collect and process the pictures of bread fermentation process, obtained the quantitative information of the pictures, and a prediction model was established for bread fer

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Stability and Threshold of a Stochastic SIRS Epidemic Model with Vertical Transmission and Transfer from Infectious to Susceptible Individuals

The aim of this paper is to generalize the nonlinear incidence rate of a stochastic SIRS (susceptible-infected-recovered-susceptible) epidemic model.Our basic model was enriched Lower Basket Rack Clip with the hypotheses of vertical transmission and transfer from infected to susceptible individuals, to approach the reality.Our analysis showed that

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Important factors for the three-dimensional reconstruction of neuronal structures from serial ultrathin sections

Quantitative analysis of anatomical synaptic connectivity in microcircuits depends upon accurate 3-dimentional reconstructions of synaptic ultrastructure using electron microscopy of serial ultrathin sections.Here we address two pitfalls in current methodology that lead to inaccurate reconstructions and compromise conclusions drawn from the Western

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Management of Speed: The Low-Cost, Rapidly Implementable Effective Road Safety Action to Deliver the 2020 Road Safety Targets

Delivery of road Rapid Cooling Tools safety is an urgent global priority, as recognised by key events over recent years.The establishment of the United Nations (UN) Decade of Action for Road Safety and the subsequent development of the UN Global Plan for the Decade of Action for Road Safety 2011-2020 (UNRSC, 2011) provided global impetus to focus o

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