文件名称:traindiffevol
介绍说明－－下载内容均来自于网络，请自行研究使用
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.-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.
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.-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.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
traindiffevol.m