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This paper presents neural-network-based recognition system for automatic light emitting diode (LED) inspection. Two types of neural-networks, back-propagation neural-network (BPNN) and radial basis function network (RBFN), are proposed and tested. The current–voltage (I–V) data from the LED inspection process is used for the network training and testing. This study adopts 300 random picking as network...
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