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Self-organizing data driven learning hardware with local interconnections
Self-organizing data driven learning hardware with local interconnections
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机译:具有本地互连的自组织数据驱动学习硬件
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摘要
A method for organizing processors to perform artificial neural network tasks is provided. The method provides a computer executable methodology for organizing processors in a self-organizing, data driven, learning hardware with local interconnections. A training data is processed substantially in parallel by the locally interconnected processors. The local processors determine local interconnections between the processors based on the training data. The local processors then determine, substantially in parallel, transformation functions and/or entropy based thresholds for the processors based on the training data.
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