In this paper, a method is introduced how to process the Discrete Fourier Transform (DFT) by a singlelayer neural network with a linear transfer function. By implementing the sugg...
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated a...
Many researchers have observed that neurons process information in an imprecise manner - if a logical inference emerges from neural computation, it is inexact at best. Thus, there...
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...