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In the following, we will discuss the difference among those architectures. Fig. 1. Typical Recurrent neural network composed of three lay ers

Figure 1 In the following, we will discuss the difference among those architectures. Fig. 1. Typical Recurrent neural network composed of three lay ers

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Fig. 2. Architecture of Elman Recurrent Neural Network
Fig. 2. Architecture of Elman Recurrent Neural Network
Table 1. Prediction of Mackey-Glass Time series using Elman Recurrent Neural Network
Table 1. Prediction of Mackey-Glass Time series using Elman Recurrent Neural Network
Fig. 3 depicts the example of 500 samples from the Mackey-Glass time Series predicted by our network architecture. We remark that the proposed scheme gives accurate results as they are predicted efficiently. Fig. 3. Prediction of Mackey-Glass Time series using Elman Recurrent Neural Network (Test Results).
Fig. 3 depicts the example of 500 samples from the Mackey-Glass time Series predicted by our network architecture. We remark that the proposed scheme gives accurate results as they are predicted efficiently. Fig. 3. Prediction of Mackey-Glass Time series using Elman Recurrent Neural Network (Test Results).
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Computer ScienceArtificial IntelligenceMachine LearningRecurrent Neural Network
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