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For the second simulation we used the past historical data of ACI pharmaceutical company which include only 5 inputs, we tried to predict stock values for future 8 days of November. Table 2 and Figure 4 show the prediction and real values of the ACI pharmaceutical Company. The input past historical data is from 1-9-2010 to 31-10-2010. The average error of the 2™ simulation was 1.53 %.

Table 2 For the second simulation we used the past historical data of ACI pharmaceutical company which include only 5 inputs, we tried to predict stock values for future 8 days of November. Table 2 and Figure 4 show the prediction and real values of the ACI pharmaceutical Company. The input past historical data is from 1-9-2010 to 31-10-2010. The average error of the 2™ simulation was 1.53 %.

Related Figures (2)

hidden layer neuron and generate the final out put which is the compared with the real output and calculate an error signal ‘e’. From the figure 1 we can see that, the normalized input data are fed into the input layer, then the weights are multiplied with the each input data and enter into the neurons of hidden layer, the function of a single neuron are described in the figure 2, in our model we used single hidden layer. In our model the hidden layer neurons has the same functions as the input layers neurons .A fter that each neuron passes the output to the next neuron of the output layer. The output layer calculate the in the same way as the
hidden layer neuron and generate the final out put which is the compared with the real output and calculate an error signal ‘e’. From the figure 1 we can see that, the normalized input data are fed into the input layer, then the weights are multiplied with the each input data and enter into the neurons of hidden layer, the function of a single neuron are described in the figure 2, in our model we used single hidden layer. In our model the hidden layer neurons has the same functions as the input layers neurons .A fter that each neuron passes the output to the next neuron of the output layer. The output layer calculate the in the same way as the
Fig - 3: Graphical representation of Predicting and Actual price of ACI pharmaceutical using 2 input data sets
Fig - 3: Graphical representation of Predicting and Actual price of ACI pharmaceutical using 2 input data sets
Related topics:
Artificial IntelligencePrediction-based Decisions & PlanningMachine LearningStatistical machine learningShare market analysisBackpropagation Algorithms
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