Sensory evaluation method for predicting fermented yogurt based on BP neural network
A BP neural network and sensory evaluation technology, which is applied in the field of predicting sensory evaluation of fermented yoghurt, can solve problems such as large limitations, and achieve the effects of low cost, easy measurement, and simple operation
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[0014] Such as figure 1 The realization diagram of the method for predicting the sensory evaluation of fermented yogurt based on BP neural network is shown. Firstly, different treatments or types of fermented yogurt are selected, and experts with experience in sensory evaluation of yogurt or trained final consumers form an evaluation group according to age and gender. The palatability indicators (color, taste, smell, overall evaluation, etc.) of fermented yogurt were evaluated sensory. At the same time, apply physical and chemical methods according to the provisions of the national standard GBT5009.46-2003, the indicators of fermented yogurt: fat content (g / 100g), protein content (g / 100g), total solid content (g / 100g), acidity (pol US degrees), viscosity (cP) for quantitative expression. Then apply the programming method of the neural network toolbox in the MatLab software, take the physical and chemical values as the input, and the sensory evaluation as the output value. T...
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