how to prediction with neural network and regression?

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Hello,
I have a problem with predicting future values of Land Surface Temperature(LST). First of all I have retrieved LST and some indices such as (NDVI and buildings' intensity and etc) from satellite images(10 images from 1985 to 2014), then I clipped them and put them in the MATLAB neural network time-series app like:
inputs=[{year_85},{year_90},{year_94},{year_00},{year_02}...
,{year_05},{year_10},{year_08},{year_12},{year_14}];
outputs= {LST85,LST90,LST94,LST2000,LST2002,LST2005...
,LST2008,LST2010,LST2012,LST2014};
indices as input and LST as target.Next, I trained them, so I receive result, but i don't know how to predict future years(for example 2018) with these results and please help me if the prediction with regression is possible.
please help me

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