Artificial neural networks applications in problems of fitting in forestry

Abstract

Neural networks with different architectures and different activation functions represent a powerful tool for solving many approximation problems. Combining the knowledge of a forestry theory with the empirical knowledge stored in an artificial neural networks (ANN) trained on examples, can bring very significant results with respect to traditional approaches. In our example neural networks represent a very powerful tool for solving problems of a fitting in forestry.