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Several demonstration neural networks will be described that identify certain characteristics of ionograms. The characteristics identified are ordinary and extraordinary F region critical frequency, F1 cusp frequency, sporadic E type C and type H cusp frequencies, and spread F. Accuracy for the neural networks varies, ranging from 50% to 90%. The ionograms come from a midlatitude ionosonde station.