The plasma position and shape on the COMPASS-D tokamak have been controlled simultaneously with a 75- kHz bandwidth, hard-wired, real-time neural network. The primary network operates with up to 48 selected magnetic inputs and has been used in the vertical position control loop to control the position of the upper edge of the plasma at the radius of a reciprocating Langmuir probe and to keep this constant during a programmed shape sequence. One of the main advantages of neural networks is their ability to combine signals from different types of diagnostics. Two coupled networks are now in use on COMPASS-D. A dedicated soft-X-ray network has been created with inputs from 16 vertical and 16 horizontal camera channels. With just four hidden units, it is able to accurately determine three output signals defining the plasma core radius, vertical position, and elongation. These signals are fed to the primary network along with selected magnetic inputs and four poloidal field coil control current inputs.