公开(公告)号：US20220237437A1

公开(公告)日：2022-07-28

申请号：US17581767

申请日：2022-01-21

Applicant: Khalifa University of Science and Technology

Inventor： Hasan AL-MARZOUQI ,  Lyes Saad Saoud

IPC: G06N3/04

Abstract: Methods and systems for implementing sedenion value neural network models are provided. A method includes obtaining, from a data store or a user device, values associated with a feature for which a value is to be determined. The method includes generating an input sedenion using the values and inputting the input sedenion to a sedenion value neural network (SVNN) model configured to generate an output sedenion using the input sedenion. The output sedenion may indicate a sedenion representation of the value to be determined. The method includes generating a sequence of real values using the output sedenion. The sequence may be or include the value. The method also includes outputting, to the data store or to the user device, the sequence of real values.