Loading...
Please wait, while we are loading the content...
Similar Documents
Close approximations of sigmoid functions by sum of steps for vlsi implementation of neural networks (1994).
| Content Provider | CiteSeerX |
|---|---|
| Author | Beiu, Valeriu Peperstraete, Jan Vandewalle, Joos Lauwereins, Rudy |
| Abstract | This paper is devoted to show that there are simple and accurate ways to compute a sigmoid nonlinearity and its derivative in digital hardware by sum of steps, and that threshold gate implementation of such algorithms are area-efficient when compared to other known methods. |
| File Format | |
| Publisher Date | 1994-01-01 |
| Access Restriction | Open |
| Subject Keyword | Vlsi Implementation Sigmoid Function Close Approximation Particular Sigmoid Function Neural Network Classical Solution Artificial Neuron Digital Hardware Implementation Nonlinear Activation Function Sigmoid Nonlinearities Threshold Gate Implementation Classical Sigmoid Function Approximation Technique Amplification Factor Digital Hardware Fresh Result Sigmoid Nonlinearity Accurate Way |
| Content Type | Text |
| Resource Type | Article |
