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The use of BP neural networks for prediction has been a widely researched and implemented technique in various fields such as finance, engineering, and medicine. BP neural networks are a type of artificial neural network that utilizes a supervised learning algorithm to train the network to make predictions based on a given set of inputs. With the increasing availability of data and computational resources, the use of BP neural networks has become more prevalent in recent years, and new variations and improvements to the algorithm continue to be developed. In addition to its predictive capabilities, BP neural networks have also been used for tasks such as classification, pattern recognition, and optimization.