APPLICATIONS OF ARTIFICIAL NEURAL NETWORKS IN CHEMICAL PROBLEMS

The article is devoted to the Artificial Neural Networks and and their application in chemistry. Artificial neural networks (ANNs) may provide accurate results for very complex and non-linear problems that demand high computational costs. The main advantages of ANN techniques include learning and generalization ability of data, fault tolerance and inherent contextual information processing in addition to fast computation capacity. There is a large interest in ANN techniques, in special in their applications in various chemical fields such as medicinal chemistry, pharmaceutical, theoretical chemistry, analytical chemistry, biochemistry, food research, etc.