Discovery Projects - Grant ID: DP140101366

Funded Activity Summary

Fuzzy Transfer Learning for Prediction in Data-Shortage and Rapidly-Changing Environments. Collecting sufficient up-to-date data to train a learning model for data analysis and prediction is difficult and expensive. This project will develop a Fuzzy Transfer Learning methodology, using Information Granularity theory, that exploits data with different features and/or distributions available in other, similar systems, to provide accurate learning-based prediction for current problems. It will establish a new research direction, Fuzzy Transfer Learning for Prediction, and the outcomes will enable government and industry to better use past experience to make more accurate predictions and decisions. Highly significant benefits will also accrue in the data analytics, business intelligence and decision making research fields.

Funded Activity Details

Start Date: 01-01-2014

End Date: 20-12-2017

Funding Scheme: Discovery Projects

Funding Amount: $394,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Neural, Evolutionary and Fuzzy Computation | Decision Support and Group Support Systems | Expert Systems | Artificial Intelligence and Image Processing

ANZSRC Socio-Economic Objective (SEO)

Computer Software and Services not elsewhere classified | Application Software Packages (excl. Computer Games) | Information Processing Services (incl. Data Entry and Capture) |

Other Keywords

Application Software Packages (excl. Computer Games) | Artificial Intelligence and Image Processing | Computer Software and Services not elsewhere classified | Decision Support and Group Support Systems | Expert Systems | Information Processing Services (incl. Data Entry and Capture) | Neural, Evolutionary and Fuzzy Computation

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