公开(公告)号：US20220147825A1

公开(公告)日：2022-05-12

申请号：US17593625

申请日：2020-03-18

Applicant: BRITISH TELECOMMUNICATIONS PUBLIC LIMITED COMPANY

Inventor： Gilbert OWUSU ,  Hani HAGRAS ,  Ravikiran CHIMATAPU ,  Andrew STARKEY

IPC: G06N3/08 ,  G06N3/04

Abstract: A computer implemented method for machine learning including training an autoencoder having a set of input units, a set of output units and at least one set of hidden units, wherein connections between each of the sets of units are provided by way of interval type-2 fuzzy logic systems each including one or more rules, and the fuzzy logic systems are trained using an optimization algorithm; and generating a representation of rules in each of the interval type-2 fuzzy logic systems triggered beyond a threshold by input data provided to the input units so as to indicate the rules involved in generating an output at the output units in response to the data provided to the input units.