Increasing the accuracy of soil nutrient predictionby improving genetic algorithm backpropagationneural networks

HIGHLIGHTS

• who: Yanqing Liu et al. from the School of Management, Hefei University of Technology, Hefei, China have published the Article: Increasing the Accuracy of Soil Nutrient Predictionby Improving Genetic Algorithm BackpropagationNeural Networks, in the Journal: Symmetry 2023, 151 of /2023/
• what: In this study a BP neural network model optimized by an improved genetic algorithm (IGA) was proposed to predict soil nutrient time series with high accuracy. The week-by-week water quality of pH value from Bengbu Gate in Bengbu City, Anhui Province, China, was selected as the research object, and the water quality . . .
  

   

  

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