ANN training using two time series as input

 Hello everyone. A) Please and I need help on how I can train a Neural network using two sets of time series (same size) with each being row vectors ranging up to 1500 data points (1x1500) as input variable and to return a single class of output.

Input 1= [-20 -20.30 -20.61 -20.91 -21.20 -21.49 -21.77 -22.05....]

Input 2= [-15.81 -15.44 -15.05 -14.67 -14.28 -13.88 -13.48 -13.08....]

Output=[H1]

I have about four classes of output that each case of the double time series can define and I have about 700 cases of the above data type that I want to use for training, validation and testing.

B) In another case I also want repeat the above procedure but my output will be two vectors i.e something like:

Input 1= [-20 -20.30 -20.61 -20.91 -21.20 -21.49 -21.77 -22.05....]

Input 2= [-15.81 -15.44 -15.05 -14.67 -14.28 -13.88 -13.48 -13.08....]

Output= [0.2331 -3.221]

A typical sample of the code for training and testing using MATLAB functions will be appreciated

Please I am new to this area of study, simple and easily understandable terms will be preferred

NOTE:-

Matlabsolutions.com provide latest MatLab Homework Help,MatLab Assignment Help for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research.

You have a mischaracterization of the standard classification and timeseries models.

 

1. Classification input data is divided into class-labeled areas of I-dimensional input space. However, the areas of a single class are not necessarily connected.

 

 

   The input matrix for c classes contains N   
I-dimensional samples and has dimension [ I N ].

   The output matrix for c classes contains N 
c-dimensional 0-1 unit vectors where the row of 
the 1 indicates the class index of the  
corresponding class.

   In general there is no correlation between 
the physical location of inputs and their matrix 
location.

2. Typically, time-series are not used for classification.

 SEE COMPLETE ANSWER CLICK THE LINK

https://www.matlabsolutions.com/resources/ann-training-using-two-time-series-as-input.php