1
Download Neural Network Toolbox User's Guide
Transcript
traincgb Training occurs according to the traincgb's training parameters, shown here with their default values: net.trainParam.epochs 100 net.trainParam.show 25 net.trainParam.goal 0 net.trainParam.time inf net.trainParam.min_grad 1e-6 net.trainParam.max_fail 5 net.trainParam.searchFcn 'srchcha' Maximum number of epochs to train Epochs between showing progress Performance goal Maximum time to train in seconds Minimum performance gradient Maximum validation failures Name of line search routine to use. Parameters related to line search methods (not all used for all methods): net.trainParam.scal_tol 20 Divide into delta to determine tolerance for linear search. net.trainParam.alpha 0.001 Scale factor which determines sufficient reduction in perf. net.trainParam.beta 0.1 Scale factor which determines sufficiently large step size. net.trainParam.delta 0.01 Initial step size in interval location step. net.trainParam.gama 0.1 Parameter to avoid small reductions in performance. Usually set to 0.1. (See use in srch_cha.) net.trainParam.low_lim 0.1 Lower limit on change in step size. net.trainParam.up_lim 0.5 Upper limit on change in step size. net.trainParam.maxstep 100 Maximum step length. net.trainParam.minstep 1.0e-6 Minimum step length. net.trainParam.bmax 13-236 26 Maximum step size.
