Modelling Municipal Solid Waste with Adaptive Neuro-Fuzzy Inference
Abstract
Both academic and industrial communities have shown growing interest in optimising municipal solid waste for rural electrification. The experimental rig was instrumented to supply the inputs required by adaptive neuro-fuzzy inference. The closed-loop system remained stable for sudden load variations of up to 12% of the rating. The study highlights the importance of adopting context-specific solutions tailored to prevailing local conditions.
Keywords:
municipal solid wasteadaptive neuro-fuzzy inferenceofdmnetwork securitystructural health monitoringshape memory alloy
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