Neural networks have recently generated much interest because of their adaptability, massive parallelism and robustness. The interest is no longer confined to academic research; several applications have been fielded. The features of neural networks could provide desirable characteristics for many applications in the utility industry. We first provide a general overview of neural network technology, focussing on the aspect most relevant for near-term applications - supervised learning. Then we discuss in some detail a particular application of supervised learning neural networks that we are jointly investigating - the identification and optimization of exhaust condenser pressure of steam turbines.
|Original language||English (US)|
|Number of pages||8|
|Journal||Advances in Instrumentation, Proceedings|
|Issue number||pt 1|
|State||Published - Dec 1 1990|
|Event||Proceedings of the ISA '90 International Conference and Exhibition Part 4 (of 4) - New Orleans, LA, USA|
Duration: Oct 14 1990 → Oct 18 1990