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.

An artificial neural network models biological synapses and neurons and can be used to make predictions for complex data sets. Neural networks and their associated algorithms are among the most ...

Block diagrams can be written, usually in boxes, with the headings input, process, and output. When planning how a circuit will function, these headings are then used to plan what the input ...

Flow charts may include different levels of detail as needed, from a high-level overview of an entire system to a detailed diagram of one component process within a larger system.

An artificial neural network models biological synapses and neurons and can be used to make predictions for complex data sets. Neural networks and their associated algorithms are among the most ...