traindiffevol
代码说明：
TRAINDIFFEVOL(NET,Pd,Tl,Ai,Q,TS,VV) takes these inputs, NET - Neural network. Pd - Delayed input vectors. Tl - Layer target vectors. Ai - Initial input delay conditions. Q - Batch size. TS - Time steps. VV - Either empty matrix [] or structure of validation vectors. and returns, NET - Trained network. TR - Training record of various values over each epoch: TR.epoch - Epoch number. TR.perf - Training performance. TR.vperf - Validation performance. TR.tperf - Test performance. TR.mu - Adaptive mu value.
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