Key points are not available for this paper at this time.
Expert methods, which widely applied for human decision making, were employed for neural networks. It was developed an exchange rates prediction and trading algorithm with using of experts in- formation processing techniques - Delphi method and prediction compatibility. Proposed algorithm lim- ited to eight experts. Each of experts represented recurrent neural network, Evolino-based Long Short- Term Memory (LSTM) by using of genetic learning algorithm, EVOlution of recurrent systems with LINear Outputs (EVOLINO). Statistical investigation of offered algorithm shows the significantly in- crease of the reliability of prediction. Developed algorithm was applied for trading of historical forex ex- change rates. Obtained test trading results were presented
Maknickienė et al. (Sun,) studied this question.