https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Convergence-criteria-for-Neural-Network-node/m-p/653772#M867 Just one. The number of "times" the criteria needs to be satisfied in order to be deemed as converged can be changed in the optimization properties window. The default is one, for each of the specified criteria. Fri, 05 Jun 2020 19:25:54 GMT RobertBlanchard 2020-06-05T19:25:54Z https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Convergence-criteria-for-Neural-Network-node/m-p/651984#M840 <P>Re: Neural Network Modelling</P> <P>To have converged, should the 3 criteria reported on page 3.7 of the course text be all met at the same time or would it be enough for one of them to be met to declare converge of the algorithm?</P> Sat, 30 May 2020 15:51:10 GMT https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Convergence-criteria-for-Neural-Network-node/m-p/651984#M840 pvareschi 2020-05-30T15:51:10Z https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Convergence-criteria-for-Neural-Network-node/m-p/653772#M867 Just one. The number of "times" the criteria needs to be satisfied in order to be deemed as converged can be changed in the optimization properties window. The default is one, for each of the specified criteria. Fri, 05 Jun 2020 19:25:54 GMT https://communities.sas.com/t5/SAS-Academy-for-Data-Science/Convergence-criteria-for-Neural-Network-node/m-p/653772#M867 RobertBlanchard 2020-06-05T19:25:54Z