Not enough data to create a plot.
Try a different view from the menu above.
LaFranchise, Jeffrey R.
CCD Neural Network Processors for Pattern Recognition
Chiang, Alice M., Chuang, Michael L., LaFranchise, Jeffrey R.
A CCD-based processor that we call the NNC2 is presented. The NNC2 implements a fully connected 192-input, 32-output two-layer network and can be cascaded to form multilayer networks or used in parallel for additional input or output nodes. The device computes 1.92 x 10
CCD Neural Network Processors for Pattern Recognition
Chiang, Alice M., Chuang, Michael L., LaFranchise, Jeffrey R.
A CCD-based processor that we call the NNC2 is presented. The NNC2 implements a fully connected 192-input, 32-output two-layer network and can be cascaded to form multilayer networks or used in parallel for additional inputor output nodes. The device computes 1.92 x 10
CCD Neural Network Processors for Pattern Recognition
Chiang, Alice M., Chuang, Michael L., LaFranchise, Jeffrey R.
A CCD-based processor that we call the NNC2 is presented. The NNC2 implements a fully connected 192-input, 32-output two-layer network and can be cascaded to form multilayer networks or used in parallel for additional input or output nodes. The device computes 1.92 x 10