Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models

Mesut Toğaçar; Burhan Ergen; Zafer Cömert

doi:10.1016/j.measurement.2019.107459

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Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models

Mesut Toğaçar Burhan Ergen Zafer Cömert

Year: 2019 Journal: Measurement Vol: 153 Pages: 107459-107459 Publisher: Elsevier BV

DOI: 10.1016/j.measurement.2019.107459

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Keywords:

Autoencoder Support vector machine Feature selection Artificial intelligence Convolutional neural network Feature (linguistics) Computer science Pattern recognition (psychology) Artificial neural network Feature vector Data mining Machine learning

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120

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11.63

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0.99

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Topics

Municipal Solid Waste Management

Physical Sciences → Environmental Science → Industrial and Manufacturing Engineering

Advanced Neural Network Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Recycling and Waste Management Techniques

Physical Sciences → Environmental Science → Industrial and Manufacturing Engineering

Waste classification using AutoEncoder network with integrated feature selection method in convolutional neural network models

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Citation History

Topics

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