Design and sensitivity analysis of feed-forward neural ADC's
Hamid Movahedian, Mehrdad Sharif Bakhtiar · 2004
In this paper, a one-layer and a two-layer Gray-coded feed-forward neural ADC with soft-limiting activation functions are introduced. The use of soft-limiting activation functions results in reduction of the total number of neurons, but at the same time it increases the sensitivity of various errors. The required number of bits for training the network derived from sensitivity analysis. A design example is also presented.