Abstract
Artificial neural networks (ANN) are robust and efficient mathematical tools inspired by the biological nervous system, and can be used to simulate a wide variety of complex scientific and engineering problems. A powerful ANN function is determined largely by the interconnections between artificial neurons, similar to those occurring in their natural counterparts of biological systems. Neural network based method proved to be able to appreciate the liquid crystalline behavior with small errors, so it represents an effective tool for structure – properties prediction. The most common type ANN with multiple layers has been used in this work.
Cuvinte cheie
liquid crystal properties
prediction
feed forward neural networks