Modeling the prediction of hydrogen production by co-gasification of plastic and rubber wastes using machine learning algorithms

Chemical activation; Gasification; Learning algorithms; Machine learning; Multilayer neural networks; Neurons; Plastics industry; Predictive analytics; Rubber; Rubber industry; Activation functions; MLP neural networks; Model architecture; Multi layer perceptron; Neural network algorithm; Optimized...

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Bibliographic Details
Main Authors: Ayodele B.V., Mustapa S.I., Kanthasamy R., Zwawi M., Cheng C.K.
Other Authors: 56862160400
Format: Article
Published: John Wiley and Sons Ltd 2023
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Summary:Chemical activation; Gasification; Learning algorithms; Machine learning; Multilayer neural networks; Neurons; Plastics industry; Predictive analytics; Rubber; Rubber industry; Activation functions; MLP neural networks; Model architecture; Multi layer perceptron; Neural network algorithm; Optimized performance; Process operation; Radial Basis Function(RBF); Hydrogen production