how to prediction with neural network and regression?

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

[Greg Heath]

Woefully insufficient Detail.

Greg

[EDUARDO KAISER]

Hey Navid,

I have the same problem. Did u solved your problem?

Please can you help me?