title: Neural network for multiple input and multi output (MIMO) systems
body: <p>I want to build a neural network for a multi input and multi output (MIMO) system described as:</p>
  
  <pre><code>y1(t)= f1( x1(t), x2(t),...xn(t))
  y2(t)= f2( x1(t), x2(t),...xn(t))
  .....
  .....
  ym(t)= fm( x1(t), x2(t),...xn(t))
  </code></pre>
  
  <p>The book I read describes examples of single input single output system, mostly for function approximation of the form  <code>y= f(t)</code>, where the neural network is trained for input t (independent variable) and output y. I am using matlab neural network toolbox and the solution to the scalar case can easily be done. However, how do I construct or solve the MIMO problem ? How to I transform or represent the input or outputs to solve the problem with the matlab built in functions?</p>