Neural Network Weight Matrix Synthesis Using Optimal Control Techniques

Given a set of input-output training samples, we describe a procedure fordetermining the time sequence of weights for a dynamic neural network to model an arbitrary input-output process. We formulate the input-output mapping problem as an optimal control problem,defining a performance index to be minimized as a function of time-varying weights.