Can differentiation system using radial basis function and multi layer perception neural network
This paper summarizes the most active research and application areas of neural network, classification. The literature is vast and growing. The input to the classification system is an image. Two type of image chosen to be used in this project are tuna can latte can.
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my.uniten.dspace-208362023-05-05T03:33:19Z Can differentiation system using radial basis function and multi layer perception neural network Lee Choo min This paper summarizes the most active research and application areas of neural network, classification. The literature is vast and growing. The input to the classification system is an image. Two type of image chosen to be used in this project are tuna can latte can. 2023-05-03T15:25:51Z 2023-05-03T15:25:51Z 2010 Resource Types::text::Thesis https://irepository.uniten.edu.my/handle/123456789/20836 en application/pdf |
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This paper summarizes the most active research and application areas of neural network, classification. The literature is vast and growing. The input to the classification system is an image. Two type of image chosen to be used in this project are tuna can latte can. |
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Resource Types::text::Thesis |
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Lee Choo min |
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Lee Choo min Can differentiation system using radial basis function and multi layer perception neural network |
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Lee Choo min |
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Lee Choo min |
title |
Can differentiation system using radial basis function and multi layer perception neural network |
title_short |
Can differentiation system using radial basis function and multi layer perception neural network |
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Can differentiation system using radial basis function and multi layer perception neural network |
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Can differentiation system using radial basis function and multi layer perception neural network |
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Can differentiation system using radial basis function and multi layer perception neural network |
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can differentiation system using radial basis function and multi layer perception neural network |
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2023 |
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1806427467912577024 |
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