Mitigating the Hubbard sign problem with complex-valued neural networks

Complex-Valued Neural Networks

The usual real-valued artificial neural networks have been applied to various fields such as telecommunications, robotics, bioinformatics, image processing and speech recognition, in which complex numbers (two dimensions) are often used with the Fourier transformation. This indicates the usefulness of complex-valued neural networks whose input and output signals and parameters such as weights a...

Complex-Valued Neural Networks

Supervised Learning with Complex-valued Neural Networks

Thank you very much for reading supervised learning with complex valued neural networks. Maybe you have knowledge that, people have look hundreds times for their favorite novels like this supervised learning with complex valued neural networks, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they juggled with some harmful bugs in...

Complex-Valued Neural Networks with Multi-Valued Neurons

Novel Complex Valued Neural Networks

In view of many applications, in recent years, there has been increasing interest in complex valued neural networks. In this paper, it is reasoned that transforming real valued signals into complex valued signals (using Discrete Fourier Transform) and processing them in that domain is equivalent to processing real valued signals. This approach could have many advantages. Also neural networks ba...