matlab神經(jīng)網(wǎng)絡及其應用(存儲版)
【正文】 M is the default training function because it is very fast, but it requires a lot of memory to run. If you get an outofmemory error when training try doing one of these: ? (1) Slow TRAINLM training, but reduce memory requirements, by setting to 2 or more. (See HELP TRAINLM.) ? (2) Use TRAINBFG, which is slower but more memory efficient than TRAINLM. ? (3) Use TRAINRP which is slower but more memory efficient than TRAINBFG. 參數(shù)說明 ? The learning function BLF can be either of the backpropagation learning functions such as LEARNGD, or LEARNGDM. ? The performance function can be any of the differentiable performance functions such as MSE or MSEREG. 4 MATLAB中的 train命令 ? TRAIN Train a neural work. ? Syntax ? [,tr,Y,E,Pf,Af] = train(NET,P,T,Pi,Ai,VV,TV) ? Description ? TRAIN trains a work NET according to and . 輸入?yún)?shù)說明 ? TRAIN(NET,P,T,Pi,Ai) takes, ? NET Network. ? P Network inputs. ? T Network targets, default = zeros. ? Pi Initial input delay conditions, default = zeros. ? Ai Initial layer delay conditions,
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