Application of BP Neural Network and Artificial Intelligence Algorithm in Pharmaceutical Production

Backpropagation neural network (BP neural network) is a new efficient and highly parallel information processing pattern algorithm. Artificial intelligence algorithms can enable systems to achieve rapid response and accurate calculations. This article analyzed the application of these two methods in pharmaceutical production, with the aim of improving pharmaceutical technology and level, ensuring safety and improving efficiency in drug production. This article mainly applied algorithm comparison and experimental simulation to analyze the application capabilities of BP neural network and genetic algorithm in pharmaceutical production. Experimental data showed that both BP neural network and genetic algorithm have improved the intelligence of pharmaceutical production by over 20%, both of which have a certain degree of improvement.