Neural networks for big data

Program Code: 1885

Description of work:

Big data are massive datasets in the order of terabytes and beyond. Scaling up neural networks to datasets of this size is not a trivial task. The objective of this project is to design neural networks that can discover relationships in Big Data efficiently.

Expected Background Knowledge:

Knowledge or demonstrated ability to do programming in parallel highperformance computing environment using C or JAVA

Good understanding of Neural Networks

Description of work:

A literature review of Neural Networks and Big Data

Creating new algorithms for Neural Networks to handle Big Data

Testing the new algorithms

Contact:

Prof Hussein Abbass h.abbass@adfa.edu.au