AN ENTROPY-BASED ADAPTIVE HYBRID PARTICLE SWARM OPTIMIZATION FOR DISASSEMBLY LINE BALANCING PROBLEMS


Coastal solid waste prediction by applying machine learning approaches (Case study: Noor, Mazandaran Province, Iran)

Nowadays, intelligent systems are used as innovative tools in different environmental issues.However, the prediction of short-term waste, unlike the long-term scale, is less developed due to more uncertainties and the difficulty in determining measurable independent parameters.In this study, two types of artificial neural networks (MLP and RBF) and

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