Artificial neuronal networks in the information retrieval systems

Author presents concept and historical outline of the development of the artificial neuronal networks as information processing systems. Networks activities have ben presented taking into consideration their self - educating processes. Author discusses typology of networks, indicating the most important types among them, There are listed examples of such networks implementations in information retrieval systems. As the most important ones author considers: the bibliographic information retrieval processes, information grouping, user needs modeling, designing information retrieval systems interfaces, information selection, retrieving the data in incomplete information collections, exploration of the data.