Study on Artificial Neural Networks by Introduction of Magnetic Field. A Unit Hybrid Artificial Neuron Model and Its Application.
Haibin Liu, Yukinori Kakazu · TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C · 1995
In this paper, we propose a unit hybrid artificial neuron (U-Hynuron) model that introduces magnetic field information into artificial neural networks. The U-Hynuron model differs greatly from conventional neural models in two ways : one is that it treats two distinct types of input-output information ; and the other is tthat it is a three-dimensional model using field theory as its mathematical method. A mathematical memory-learning relation has been derived from this model, and is called the learning rule. By this learning rule, reflex learning and union learning are defined. Furthermore, the reflex learning theorem and union learning theorem are proposed and proven. Finally, as an application of pattern recongnition, we solve a recognition problem of Japanes paper money by using U-Hynuron.