In this paper, we introduce the concept of metavariability, i.e., variability with respect to basic variability attributes like binding time or constraints. While the main focus o...
"Introduction to Neural Networks fpr C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures...
The last decade has witnessed a rapid proliferation of superscalar cache-based microprocessors to build high-end computing (HEC) platforms, primarily because of their generality, ...
Leonid Oliker, Jonathan Carter, Michael F. Wehner,...
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated a...
Model-driven engineering is at the forefront among recent attempts to information systems development. Models are gradually refined from domain specific descriptions to more concre...
Christian Flender, Thomas Hettel, Michael Lawley, ...