TRANSDUCTIVE NEURO FUZZY INFERENCE METHOD FOR PERSONALISED MODELLING

摘要

The invention provides a prediction system (100) configured to predict an output from a test input. The system includes a data transformation module configured to transform at least some of the input data to obtain a set of normalised data (110). A rationalising module is configured to apply a rationalising function to the set of normalised data to obtain a set of rationalised input data (115) and rationalised expected output data. A clustering module is configured to apply a clustering function to the set of rationalised data (115). A set of rules (125) is maintained in computer memory. An optimiser module (130) is configured to apply a transformation to the rules (125) based at least partly on the results of the clustering function. A decoder (135) is configured to transform a series of outputs and an output layer (140) is configured to display a set of outputs.