In this paper a procedure for minimizing the effects of tolerance faults in Cellular Neural Network (CNN) chips is presented. Therefore the simulation system SCNN was connected with the `CNN Prototyping System' (CPPS) for adjusting the parameter values of the cp300 CNN chip. Results showing the erroneous outputs of the VLSI chip are presented first, then a suitable way for adapting parameter directly to a CNN realization is presented.