TY  - JOUR
AU  - Lee, Feng
AU  - Kabir, Saiful
AU  - Dlamini, Tanvir
TI  - Adaptive Neuro-Fuzzy Inference Applied to Induction Motor Drives
JO  - Open Access Journal of Engineering Applications
PY  - 2013
VL  - 37
IS  - 1
SP  - 525
EP  - 549
AB  - Conventional approaches to induction motor drives often fail to meet the demanding requirements of modern irrigation systems. To validate the approach, the results of adaptive neuro-fuzzy inference were compared with published experimental findings. The results indicated that the proposed approach improved overall performance by about 61% relative to the baseline. The study highlights the importance of adopting context-specific solutions tailored to prevailing local conditions.
KW  - induction motor drives
KW  - adaptive neuro-fuzzy inference
KW  - distributed generation
KW  - air pollution
SN  - 3105-7004
DO  - 10.55555/oajea.2013.3701.027
UR  - https://journal.bsaps.com/article/8994
ER  -