Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
The representation of individual memories in a recurrent neural network can be efficiently differentiated using chaotic recurrent dynamics.
Abstract: Short-Term Load Forecasting (STLF) is essential for ensuring efficient and reliable power system operations, requiring accurate predictions of electricity demand. Deep Residual Networks ...
Humans have the remarkable ability to remember the same person or object in completely different situations. We can easily ...
Abstract: This article proposes a rake receiver to convey a bank of symbol-level correlators (SLCs) on each arm for joint maximum likelihood estimation (JMLE) of ...