TY  - JOUR
AU  - Rahman, Anil
AU  - Aziz, Akira
TI  - Artificial Neural Networks
JO  - Open Access Journal of Engineering Applications
PY  - 1991
VL  - 15
IS  - 2
SP  - 664
EP  - 690
AB  - The reliable performance of artificial neural networks remains a central concern in the development of sugar mills throughout the region. The approach integrates adaptive control with experimental calibration to improve predictive accuracy. An increase of 39% in efficiency is shown to be possible through the modifications proposed here. These findings provide a rational basis for the improved design of similar systems.
KW  - artificial neural networks
KW  - adaptive control
KW  - neural networks
KW  - water quality
KW  - photovoltaic cell
SN  - 3105-7004
DO  - 10.55555/oajea.1991.1502.033
UR  - https://journal.bsaps.com/article/6850
ER  -