An Implementation Method for Nonlinear Function Based on Logic Minimization
Nonlinear function's implementation is a difficult issue in VLSI design of neural networks.Differ from other approximation methods,the LMN method proposed in this paper uses logic minimization to compress the function's look-up-table(true table)effectively,and produces the simplest logic expressions.These expressions can be translated straightforward into gates level circuits with canonical structure and very little gate delays.Program was developed to simply the design process.Results show when fixed point numbers are less than 12 bits,this method has a better performance in speed and error.