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From the back cover: This book introduces "functional networks", a novel neural-based paradigm, and shows that functional network architectures can be efficiently applied to ...

Our research is focused on optimization of recurrent neural networks using evolutionary algorithms. We are working with a hybrid evolutionary algorithm called the Continual ...

The n-queens problem is a classical example of a constraint-satisfaction problem. It often finds its way into AI classes as an exercise in programming a tree-search algorithm ...

We propose a method for extracting symmetry invariant representations from 2D patterns. The considered symmetry operators are 2D translations and rotations. The extracted ...

Predicting the three-dimensional structure of a protein from its amino acid sequence is an important and difficult problem. We present an integrated approach that uses an ...

In this paper, a stochastic technique is developed to solve 2-dimensional Bratu equations using feedforward artificial neural networks, optimized with genetic and ...

In this study we present a model for 2D pattern representations which has explicit and simultaneous translation and rotation invariance. in contrast to previous efforts in ...