This book provides an introduction to the theory of dynamical systems with the aid of the Mathematica computer algebra package. The book has a very hands-on approach and ...

The efficiency of the application of soft computing methods like Artificial Neural Networks (ANN) or Support Vector Machines (SVM) depends considerably on the ...

We apply eight prediction methods to eleven data sets and compare the prediction capabilities of the various methods. The methods are polynomial regression, support vector ...

The multistage shuffle-exchange network is generalized, by replacing the perfect shuffle with an arbitrary permutation pi, in order to pass all permutations using a minimal ...

The associated files contain supplementary examples and exercises to accompany a new book by Steve Lynch, "Dynamical Systems with Applications Using Mathematica," Birkhauser, ...

Kohonen's self-organizing map (SOM) is a neural network model of the unsupervised class and, by some aspects, is analogous to other clustering algorithms. The high-resolution ...

This paper is a digest of the Master of Arts (Economics) thesis: Matthew Sudak, 2003, "Conformity and Networks in a Simulated Society", University of Calgary. It contains ...

This book uses literature as a wrench to pry open social networks and to ask different questions than have been asked about social networks previously. The book emphasizes ...

Although Mathematica has a set of powerful functions that allows one to manipulate and search for patterns in strings (e.g., StringReplace, StringInsertStringMatchQ, and so ...