Abstract
Polyenoic vegetable oils mainly contain polyenoic acids such as linoleic acid and linolenic acid, as well as active ingredients such as VE, phytosterols, mineral elements, and squalene. Among them, schisandra oil, kiwi seed oil, grape seed oil, maitake fruit oil, and evening primrose seed oil all contain up to 80% or more polyenoic acids. Studies have shown that polygenic vegetable oils have the effects of assisting in lowering blood lipids, antioxidation, delaying ageing, anti-inflammation, sun protection, moisturizing, slimming and weight loss, etc. They can be widely used in nutritional and healthy edible oils, health food, skin care, and cosmetic products and have great prospects for development and utilization. This paper explores the application of artificial neural networks in the analysis of data. A nonlinear time series prediction method based on the BP algorithm is proposed. The prediction accuracy is much higher than that of the traditional method.
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