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MACHINE-LEARNING CLASSIFIER BASED ON COMPARATORS FOR DIRECT INFERENCE ON ANALOG SENSOR DATA
MACHINE-LEARNING CLASSIFIER BASED ON COMPARATORS FOR DIRECT INFERENCE ON ANALOG SENSOR DATA
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机译:基于比较器的机器学习分类器,用于对模拟传感器数据的直接推断
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摘要
A weak binary classifier configured to receive an input signal for classification and generate a classification output is disclosed. The weak binary classifier includes a plurality of weighting amplifier stages, each weighting amplifier stage being configured to receive the input signal for classification and a weighting input derived from a classifier model and generate a weighted input signal, the plurality of weighting amplifier stages being configured to generate a plurality of positive weighted input signals coupled to a positive summing node and a plurality of negative weighted input signals coupled to a negative summing node. The weak binary classifier also includes a comparator having a non-inverting input coupled to the positive summing node and an inverting input coupled to the negative summing node and being configured to generate a weak classification output based on the plurality of weighted input signals.
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