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In this project, a feedforward multi-layer neural network with backpropagation training algorithm and Kohonen model self organizing map have been implemented on the 32-bit multicore microcontroller Parallax Propeller P8X32A. Propeller P8X32A has 8 cores (cogs) that operate simultaneously. Each cog h...
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Online Access: | https://digilib.itb.ac.id/gdl/view/12532 |
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id-itb.:125322017-09-27T10:18:32Z#TITLE_ALTERNATIVE# HARI WIDIALAKSONO (NIM 13204121), RANDY Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/12532 In this project, a feedforward multi-layer neural network with backpropagation training algorithm and Kohonen model self organizing map have been implemented on the 32-bit multicore microcontroller Parallax Propeller P8X32A. Propeller P8X32A has 8 cores (cogs) that operate simultaneously. Each cog has its own RAM and access the main memory through the hub mechanism. text |
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Institut Teknologi Bandung |
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Indonesia Indonesia |
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In this project, a feedforward multi-layer neural network with backpropagation training algorithm and Kohonen model self organizing map have been implemented on the 32-bit multicore microcontroller Parallax Propeller P8X32A. Propeller P8X32A has 8 cores (cogs) that operate simultaneously. Each cog has its own RAM and access the main memory through the hub mechanism. |
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Final Project |
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HARI WIDIALAKSONO (NIM 13204121), RANDY |
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HARI WIDIALAKSONO (NIM 13204121), RANDY #TITLE_ALTERNATIVE# |
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HARI WIDIALAKSONO (NIM 13204121), RANDY |
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HARI WIDIALAKSONO (NIM 13204121), RANDY |
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https://digilib.itb.ac.id/gdl/view/12532 |
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