Patents by Inventor Zhihao FENG

Zhihao FENG 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).

  • Fully convolutional genetic neural network method for segmentation of infant brain record images
    Patent number: 11593942
    Abstract: Disclosed is a fully convolutional genetic neural network method for segmentation of infant brain record images. First, infant brain record image data is input and preprocessed, and genetic coding initialization is performed for parameters according to the length of a DMPGA-FCN network weight. Then, m individuals are randomly grouped into genetic native subpopulations and corresponding twin subpopulations are derived, where respective crossover probability and mutation probability pm of all the subpopulations are determined from disjoint intervals; and an optimal initialization value fa is searched for by using a genetic operator. Afterwards, fa is used as a forward propagation calculation parameter and a weighting operation is performed on the feature address featuremap.
    Type: Grant
    Filed: April 12, 2021
    Date of Patent: February 28, 2023
    Assignee: NANTONG UNIVERSITY
    Inventors: Weiping Ding, Zhihao Feng, Ming Li, Ying Sun, Yi Zhang, Hengrong Ju, Jinxin Cao
  • FULLY CONVOLUTIONAL GENETIC NEURAL NETWORK METHOD FOR SEGMENTATION OF INFANT BRAIN RECORD IMAGES
    Publication number: 20220327705
    Abstract: Disclosed is a fully convolutional genetic neural network method for segmentation of infant brain record images. First, infant brain record image data is input and preprocessed, and genetic coding initialization is performed for parameters according to the length of a DMPGA-FCN network weight. Then, m individuals are randomly grouped into genetic native subpopulations and corresponding twin subpopulations are derived, where respective crossover probability and mutation probability pm of all the subpopulations are determined from disjoint intervals; and an optimal initialization value fa is searched for by using a genetic operator. Afterwards, fa is used as a forward propagation calculation parameter and a weighting operation is performed on the feature address featuremap.
    Type: Application
    Filed: April 12, 2021
    Publication date: October 13, 2022
    Applicant: NANTONG UNIVERSITY
    Inventors: Weiping DING, Zhihao FENG, Ming LI, Ying SUN, Yi ZHANG, Hengrong JU, Jinxin CAO
  • Indoor/outdoor golf swing trainer training aid
    Patent number: D996548
    Type: Grant
    Filed: January 12, 2022
    Date of Patent: August 22, 2023
    Inventor: Zhihao Feng