Patents by Inventor Zefeng GE

Zefeng GE has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method for predicting gasification reaction characteristics of biomass char
    Patent number: 12699871
    Abstract: The present disclosure provides a method for predicting gasification characteristics of biomass char, including the following steps: step 10): acquiring training data of biomass char gasification; step 20): establishing a BP neural network model including an input layer, a hidden layer and an output layer, input parameters of the BP neural network model being char making temperature, char specific surface area and gasification time, and output parameters being char conversion rate; step 30): training the BP neural network model by adopting the training data, and optimizing the BP neural network model by adopting a particle swarm optimization algorithm to obtain a BP neural network model with high prediction precision; and step 40): predicting the char conversion rate by using the BP neural network model with high prediction precision.
    Type: Grant
    Filed: April 27, 2022
    Date of Patent: August 4, 2026
    Assignee: SOUTHEAST UNIVERSITY
    Inventors: Huiyan Zhang, Zhenting Zha, Zefeng Ge, Yuna Ma
  • METHOD FOR PREDICTING GASIFICATION REACTION CHARACTERISTICS OF BIOMASS CHAR
    Publication number: 20230419073
    Abstract: The present disclosure provides a method for predicting gasification characteristics of biomass char, including the following steps: step 10): acquiring training data of biomass char gasification; step 20): establishing a BP neural network model including an input layer, a hidden layer and an output layer, input parameters of the BP neural network model being char making temperature, char specific surface area and gasification time, and output parameters being char conversion rate; step 30): training the BP neural network model by adopting the training data, and optimizing the BP neural network model by adopting a particle swarm optimization algorithm to obtain a BP neural network model with high prediction precision; and step 40): predicting the char conversion rate by using the BP neural network model with high prediction precision.
    Type: Application
    Filed: April 27, 2022
    Publication date: December 28, 2023
    Inventors: Huiyan ZHANG, Zhenting ZHA, Zefeng GE, Yuna MA