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This paper describes radio frequency (RF) localization for indoors quasi-structured environments using an artificial neural network (ANN) approach. Making use of available communications sub-system based on wireless protocols, received signal strength indication (RSSI) can become a measurement that sources ANN schemes which emulate trilateration for indoors RF localization. Some ANN learning results...
A simple static cascade-forward back-propagation artificial neural network (ANN) is utilized to forecast the effect of stock repurchase on the closing price of firm's common stock. The input factors are composed of today's closing price, index of the stock market and the amount of tomorrow-intended repurchase. A rule-based data clustering is used to group the repurchase days by selecting two records...
A nonaffine discrete-time system represented by the nonlinear autoregressive moving average with eXogenous input (NARMAX) representation with unknown nonlinear system dynamics is considered. An equivalent affinelike representation in terms of the tracking error dynamics is first obtained from the original nonaffine nonlinear discrete-time system so that reinforcement-learning-based near-optimal neural...
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