Design of Biogas Production Prediction Model Based on Improved BP Neural Network and Genetic Algorithm

Abstract

This paper presents a model for predicting biogas production. Most biogas production models are only suitable for laboratories due to their high complexity and are not suitable for practical production applications and promotion. The existing biogas stations have a low degree of automation, and biogas production is often manually estimated based on experience. In view of these problems, the BP neural network was studied and the biogas production prediction model was established. Genetic algorithm (GA) is introduced to optimize the model parameters to make the experimental results more accurate. The data show that the prediction effect based on GA-BP model is very ideal.