QNN-Quaternion Neural Network

Introduction to QNN

QNN, short for Quaternion Neural Networks, is designed to merge the complex mathematical properties of quaternions with the robust data processing capabilities of neural networks. Quaternions are hypercomplex numbers comprising a scalar and a three-dimensional vector component, which are particularly useful in computational areas involving three-dimensional space, such as computer graphics, robotics, and aerospace. By incorporating quaternion algebra, QNN can manage and process multidimensional data more effectively than traditional neural networks. This leads to enhanced learning capabilities in environments where orientation and rotation are pivotal. An example of QNN application is in the development of flight control algorithms where its ability to handle the orientation and rotation dynamics of UAVs significantly improves flight stability and efficiency. Powered by ChatGPT-4o。