Input-process-output (I-P-O) is a structured methodology for capturing and visualizing all of the inputs, outputs, and process steps that are required to transform inputs into outputs.

This input-process-output mechanism is called neural network feed-forward. Understanding the feed-forward mechanism is required in order to create a neural network that solves difficult practical ...

Fully Explore the Relationship Between Input and Output Variables Typically, products and processes have multiple input and output variables, which we can explore via input process output analysis.

So, an algorithm is the process a computer uses to transform input data into output data. A simple concept, and yet every piece of technology that you touch involves many algorithms.

The control process, therefore, is only affected by the system’s input . Traditionally, electrical control systems were mostly open-loop and required human operators to regulate the process variables ...