Now showing items 1-2 of 2
Real-time implementation of an intelligent diagnostic and control system for bioreactors
Bioprocesses often require considerable expertise to insure proper operation and performance. However, they are also rich in both data and factual knowledge. Supervision and control can be improved by utilizing information ...
Application of back-propagation neural networks to the modeling and control of multiple-input, multiple-output processes
Certain properties of back-propagation neural networks have been found to be useful in structuring models for multiple-input, multiple-output (MIMO) processes. The network's simplicity and its ability to identify the ...