Clifford networks: novel neural architectures for multidimensional data

摘要

Clifford algebra based neural networks offer an alternative model to the more traditional architectures allowing: concise abstract modelling of complex multidimensional problem domains, reduced network size compared with traditional network configurations, and improved training algorithm efficiency compared with conventional training algorithms. Colour image processing is used as an example.