我训练了我的AI并在Encog中获得最终模型。我知道通过使用NorminalizationHelper，我可以获得规范化数据。 就像来自＆＃34; Encog快速启动＆＃34;下面：
[ NormalizationHelper :
[ ColumnDefinition : mpg( continuous ) ; low =9.000000 , high =46.600000 ,mean
=23.514573 , sd =7.806159]
[ ColumnDefinition : c y l i n d e r s ( o r d i n a l ) ; [ 3 , 4 , 5 , 6 , 8 ] ]
[ ColumnDefinition : displa c em ent ( continuous ) ; low =68.000000 , high
=455.000000 ,mean=193.425879 , sd =104.138764]
[ ColumnDefinition : horsepower ( continuous ) ; low=?, high =?,mean=?, sd=?]
[ ColumnDefinition : weight ( continuous ) ; low =1 ,613.000000 , high
=5 ,140.000000 ,mean=2 ,970.424623 , sd =845.777234]
[ ColumnDefinition : a c c e l e r a t i o n ( continuous ) ; low =8.000000 , high
=24.800000 ,mean=15.568090 , sd =2.754222]
[ ColumnDefinition : model year ( o r d i n a l ) ; [ 7 0 , 71 , 72 , 73 , 74 , 75 , 76 ,
77 , 78 , 79 , 80 , 81 , 8 2 ] ]
[ ColumnDefinition : o r i g i n ( nominal ) ; [ 1 , 3 , 2 ] ]
]
Final model : [ BasicNetwork : Layers =3]
如果我重新开始我的AI，无论如何只是将这个模型应用到我的AI而不经过整个重新训练过程。我仍然是Encog以及这些人工智能的新手，我还在挖掘所以任何想法都会受到赞赏。