Figure 8. MATLAB neural network training tool. On the top, it shows the structure of the neural network. The structure displays x(t) showing the number of inputs into the network and y(t) representing the processed output that is regressed back into the network as additional input. It also shows the number of hidden layers and the input and feedback delays as well weights(w) and bias(b).On second subsection, the algorithms applied are displayed. The third subsection displays the progress of the training. The plots section shows the various plots and graphs that can be displayed on the completion of the training process

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Stock Price Prediction Using Neural Network Models Based on Tweets Sentiment Scores

Anderson Rioba Ondieki, George Onyango Okeyo, Ann Kibe

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