Learning automaton in a non-stationary environment - Towards the effective use of soft computing -

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The ambient environment that we humans face in reality is one in which almost all is changed with time characteristics. Therefore, in order to establish the utility of soft computing techniques, it is necessary to confirm the validity of the soft computing techniques under so-called non-stationary environment whose characteristics changed with time.In this study we propose the fusion system of soft computing technology (such as NNs) and learning automata and check the effectiveness of the fusion system through the various applications such as stock price prediction, computer gaming and etc.