Over the past decade a large variety of hardware has been designed to exploit the inherent parallelism of the artificial neural network models. This paper presents an overview of ...
The features of neural networks using for increasing of an accuracy of physical quantity measurement are considered by prediction of sensor drift. The technique of data volume incr...
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated a...