A survey of quaternion neural networks

• DOI: 10.1007/s10462-019-09752-1
• Publication Date: 2019-08-16T08:02:43Z
• Authors: Titouan Parcollet; Mohamed Morchid; Georges Linarès
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

Quaternion neural networks have recently received an increasing interest due to noticeable improvements over real-valued neural networks on real world tasks such as image, speech and signal processing. The extension of quaternion numbers to neural architectures reached state-of-the-art performances with a reduction of the number of neural parameters. This survey provides a review of past and recent research on quaternion neural networks and their applications in different domains. The paper details methods, algorithms and applications for each quaternion-valued neural networks proposed.