Mechanical control systems (staplers, car windows) use parts for movement/force control. They include input, process, and output. Types of motion: linear, rotary, reciprocating, oscillating.

In feed-forward neural networks, information flows from the input, through the hidden layers, to the output. This limits the network to dealing with a single state at a time.

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 ...

Hi, I am looking for something like Xiaolin Wu's line algorithm except with 3D input and 3D output. The output would not be projected onto a 2D surface; it would be a 3rd order tensor.

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 ...

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 ...

Donald P. Ballou, Harold L. Pazer, Modeling Data and Process Quality in Multi-Input, Multi-Output Information Systems, Management Science, Vol. 31, No. 2 (Feb., 1985), ... This is accomplished using a ...