ABSTRACT

Several artificial neural network types what could be used for input-output modeling of the decisional processes are presented in this paper. The basic functioning and training algorithms are presented for each network model. Application examples and some application methodology hints are presented for each neural network type, It is shown that using artificial neural networks and input - output modeling it is possible to model various types of decisional processes, starting from simple binary decisions to very chaotic decisional processes.