Artificial Neural Networks for Optical Fibre Dispersion: A Bangladesh Perspective
Amara Dlamini
Corresponding
KTH Royal Institute of Technology
Abstract
Recent field observations have drawn attention to the role of optical fibre dispersion in the failure of earthquake-prone zones. The optimisation problem is formulated and solved by artificial neural networks. The proposed controller reduces the overshoot by approximately 35%. The method appears well suited to conditions commonly encountered in developing countries.
Keywords:
optical fibre dispersionartificial neural networksartificial neural networkMIMO systemsadsorptionheavy metal removal
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