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 ...

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

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

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

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

Designed as an upper-level textbook in computational physics or as a supplement for theoretical physics courses. Uses programs in Mathematica and C to solve problems in ...

Mathematica software system is used to solve the problem considered by Jambunathan et al. (Int. J. Heat Mass Transfer 1996; 39: 2329-2332), where a neural network is applied ...