Sequential Data Fusion via Vector Spaces: Complex Modular Neural Network Approach
Danilo P. Mandic, Su Lee Goh, Kazuyuki Aihara · 2006
A data fusion approach based on complex and hyper-complex vectors spaces is presented. The benefits of such an approach are highlighted and potential applications are identified. A case study on simultaneous forecasting of wind speed and direction in the complex domain, together with a distributed serial sensor fusion topology illustrate the potential of such an approach in real world applications.