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» Introduction to Modeling and Simulation
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VAMOS
2008
Springer
14 years 11 months ago
Model-Based Implementation of Meta-Variability Constructs: A Case Study using Aspects
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...
Klaus Schmid, Holger Eichelberger

Book
7793views
16 years 8 months ago
Introduction to Neural Networks for C#
"Introduction to Neural Networks fpr C#, Second Edition, introduces the C# programmer to the world of Neural Networks and Artificial Intelligence. Neural network architectures...
Jeff Heaton
SC
2005
ACM
15 years 3 months ago
Leading Computational Methods on Scalar and Vector HEC Platforms
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,...

Book
803views
16 years 8 months ago
Introduction to Neural Networks for Java
This book covers several topics such as: overview of neural networks, matrix operations in Java, Hopfield Neural Network, machine learning, feedforward backpropagation, Simulated a...
Jeff Heaton
CAISE
2008
Springer
14 years 12 months ago
Semi-Automated Model Synchronisation in SOM
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, ...