As hardware implementations of back propagation and related training algorithms are anti-
cipated, the choice of sigmoidal function should be carefully justified. With several possible
candidates along with their variations, it is important to examine which candidates provide the
best properties. With some care, choices that would naturally limit the form of the sigmoidal
need not eliminate ones with the best properties.