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A Dynamic Neural Network Architecture with immunology Inspired Optimization for Weather Data Forecasting

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Figure

Fig. 1. Input vector and hidden units of the Backpropagation-NN are considered as antigen and the recognition ball  of the immune algorithm, respectively  [18]
Fig. 2. The structure of DSMIA network.
Fig. 3. The correlograms of the weather time series: (a) Valley temperature, (b) Valley rainfall and (c) Valley  sunshine
Fig. 4. The histogram of a) the original sunshine signal of the Anglesey valley, b) the transformed sunshine signal  of the Anglesey valley
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