A control system has two main goals: get the system to track a setpoint, and reject disturbances. Feedback control is pretty powerful for this, but this video shows how feedforward control can supplement feedback to make achieving those goals easier.
There are models that involve backpropagation, where the machine learning system essentially optimizes by sending data back through a system. The feedforward neural network does not involve any of this type of design, and so it is a unique type of system that is good for learning these ...
To better understand how feedforward neural networks function, let’s solve a simple problem — predicting if it’s raining or not when given three inputs. x1 - day/night x2 - temperature x3 - monthLet’s assume the threshold value to be 20, and if the output is higher than 20 then...
A control system has two main goals: get the system to track a setpoint, and reject disturbances. Feedback control is pretty powerful for this, but this video shows how feedforward control can supplement feedback to make achieving those goals easier.