This reversing process is known as backpropagation and is a main feature of machine learning in general. An enormous amount of variety is encompassed within the basic structure of a neural network.

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.

The Neural Network Input-Process-Output Mechanism. 05/10/2013; An artificial neural network models biological synapses and neurons and can be used to make predictions for complex data sets. Neural ...

The open-loop control system is a continuous control system that provides no feedback from its output. The control process, therefore, is only affected by the system’s input. Traditionally, electrical ...

There's a paper in the journal PLoS Computational Biology that is incredibly significant to folks thinking through the intersection of human-computer interaction and learning or entertainment.

All systems can be understood using an input-process-output (IPO) model, and the system we call “innovation” is no exception. This model is likely familiar to you from information technology ...

If you examine both figures you'll see that, in essence, a neural network accepts some numeric inputs (2.0, 3.0 and 4.0 in this example), does some processing and produces some numeric outputs (0.93 ...